Co-production processes for translation and validation of psychosocial assessments for older adults in aged care.

OBJECTIVE: Given the diverse ethnic backgrounds of aged care clients, there is a critical requirement to translate psychosocial assessment tools into various languages to effectively evaluate social engagement and quality of life in older adults receiving aged care services. This study aimed to translate psychosocial tools into Turkish, Korean and Mandarin, the primary languages spoken by clients of an Australian community aged care provider. METHODS: A co-development approach encompassing forward and backward translations of the Australian Community Participation Questionnaire and ICEpop CAPability measure for Older people tools, along with focus group discussions involving bilingual staff (n = 7) and clients (n = 16), was employed to ensure precision and cultural relevance. Multiple iterations were undertaken until linguistic, conceptual and scaling equivalence was achieved, with recorded sessions transcribed and analysed thematically. RESULTS: Cultural appropriateness significantly impacted the delivery of questions within the tools, emphasising translation challenges tied to specific queries. These difficulties included the lack of terms for unique places of worship, the use of outdated language (e.g., references to reading newspapers), and varying priorities in social and well-being matters between Western and Eastern/Asian cultures. Staff feedback identified that formal translated tool versions eased administration for culturally and linguistically diverse (CALD) clients, enabling them to independently interpret questions, resulting in improved questionnaire completion rates. CONCLUSIONS: Insights indicate the need for continued efforts in tailoring assessment tools to diverse cultural contexts to ensure accurate and meaningful data collection.

Is metaphor a natural kind?

In Metaphor Studies, metaphor is considered as a "form of understanding one thing in terms of something else." It is assumed that, despite their differences, metaphors share many properties and that a theory of metaphor should capture these essential properties. In short, it is assumed that metaphor is a natural kind. We call this view the Natural Kind Assumption. In this paper, we will challenge it and show that metaphor is not a natural kind. Finally, we will discuss the main philosophical consequences of this view.

Finding the origin of domestication of cupuaçu requires more than genomics

Colli-Silva et al.1 recently proposed that cupuaçu (Theobroma grandiflorum) was domesticated in northwestern Amazonia as a selection from its sister species, cupuí (T. subincanum). This proposal ignores long-term research in taxonomy, botany, biogeography, and genetics about Theobroma, including cupuaçu. Our review of the research that was ignored and of Colli-Silva et al.'s results demonstrates that cupuaçu is a valid species, as they now agree2, but cupuí may be paraphyletic, the distribution of wild cupuaçu was not included in their samples so the origin of domestication continues unknown, precolonial archaeology lacks remains that can be attributed to either species, historical linguistics indicates that the term cupuaçu references the species' wild distribution and is a recent introduction in northwestern Amazonia, history suggests that cupuaçu started to be domesticated during the last 100-200 years, and the genomics results are not about the domestication of cupuaçu because it is a valid species and its wild distribution was not sampled.

Quantum projections on conceptual subspaces: A deeper dive into methodological challenges and opportunities.

In alignment with the distributional hypothesis of language, the work "Quantum Projections on Conceptual Subspaces" (Martínez-Mingo A, Jorge-Botana G, Martinez-Huertas JÁ, et al. Quantum projections on conceptual subspaces. Cogn Syst Res 2023; 82: 101154) proposed a methodology for generating conceptual subspaces from textual information based on previous work (Martinez-Mingo A, Jorge-Botana G and Olmos R. Quantum approach for similarity evaluation in LSA vector space models. 2020). These subspaces enable the utilization of the quantum model of similarity put forth by Pothos and Busemeyer (Pothos E, Busemeyer J. A quantum probability explanation for violations of symmetry in similarity judgments. In Proceedings of the annual meeting of the cognitive science society, 2011, Vol. 33, No. 33), allowing for the empirical examination of the violations of assumptions concerning symmetry and triangular inequality (Tversky A. Features of similarity. Psychol Rev 1977; 84: 327-352; Yearsley JM, Barque-Duran A, Scerrati E, et al. The triangle inequality constraint in similarity judgments. Prog Biophys Mol Biol 2017; 130: 26-32), as well as the diagnosticity effect (Tversky A. Features of similarity. Psychol Rev 1977; 84: 327-352; Yearsley JM, Pothos EM, Barque-Duran A, et al. Context effects in similarity judgments. J Exp Psychol Gen 2022; 151: 711-717), within a data-driven environment. These psychological biases, deeply studied by authors such as Tversky and Kahneman, inform us about the limitations of modeling psychological similarity measures using tools from classical geometry. This commentary aims to offer methodological clarifications, discuss theoretical and practical implications, and speculate on future directions in this field of research. Concretely, it aims to propose the use of different contours (conceptual or contextual) to generate the subspaces, which lead to subspaces of terms or contexts. Once these contours are defined, a differentiation is proposed between Aggregated Terms Subspaces (ATSs), Aggregated Contexts Subspaces (ACSs), and Aggregated Features Subspaces (AFSs) depending on whether we define the subspaces by grouping the terms or contexts within the contour, or from the latent dimensions of the semantic space obtained in the contour window. Finally, new data is provided on the violation of the triangular inequality assumption through the application of the quantum similarity model to ATSs.

Speech based natural language profile before, during and after the onset of psychosis: A cluster analysis.

BACKGROUND AND HYPOTHESIS: Speech markers are digitally acquired, computationally derived, quantifiable set of measures that reflect the state of neurocognitive processes relevant for social functioning. "Oddities" in language and communication have historically been seen as a core feature of schizophrenia. The application of natural language processing (NLP) to speech samples can elucidate even the most subtle deviations in language. We aim to determine if NLP based profiles that are distinctive of schizophrenia can be observed across the various clinical phases of psychosis. DESIGN: Our sample consisted of 147 participants and included 39 healthy controls (HC), 72 with first-episode psychosis (FEP), 18 in a clinical high-risk state (CHR), 18 with schizophrenia (SZ). A structured task elicited 3 minutes of speech, which was then transformed into quantitative measures on 12 linguistic variables (lexical, syntactic, and semantic). Cluster analysis that leveraged healthy variations was then applied to determine language-based subgroups. RESULTS: We observed a three-cluster solution. The largest cluster included most HC and the majority of patients, indicating a 'typical linguistic profile (TLP)'. One of the atypical clusters had notably high semantic similarity in word choices with less perceptual words, lower cohesion and analytical structure; this cluster was almost entirely composed of patients in early stages of psychosis (EPP - early phase profile). The second atypical cluster had more patients with established schizophrenia (SPP - stable phase profile), with more perceptual but less cognitive/emotional word classes, simpler syntactic structure, and a lack of sufficient reference to prior information (reduced givenness). CONCLUSION: The patterns of speech deviations in early and established stages of schizophrenia are distinguishable from each other and detectable when lexical, semantic and syntactic aspects are assessed in the pursuit of 'formal thought disorder'.

Action framework for reproductive health promotion: Analysis of contemporary French public policies using a critical lexicometric approach and a transgender perspective / Cadre d'action de promotion de la santé reproductive : analyse critique lexicométrique et trans des politiques publiques françaises contemporaines.

INTRODUCTION: In France, since 2017 the law has allowed people to change the gender marker on their civil status documents without having undergone medical treatment and sterilization surgery. However, no legislative framework has been provided to ensure their right to family, leaving those who wish to become parents in a space of social, political, and legal uncertainty that is inconsistent with international and human rights. In parallel, France has developed an arsenal of health strategies that constrain actors working in the field. PURPOSE OF THE RESEARCH: This study examines the possibilities available to public health actors for promoting reproductive health in the absence of legislation and in the context of political and legislative adversity. To this end, it relies on a participatory, critical, and lexicometric analysis of national strategies for sexual and reproductive health and parenthood support. RESULTS: Governance strategies make no mention of parentality among transgender people. Sexual and reproductive health policies focus on tackling sexually transmitted infections, on health pathways, and on violence and discrimination. The analysis also highlights a lack of awareness on this topic. CONCLUSIONS: Shortcomings in the legislative framework and public health strategies raise ethical questions about the promotion of reproductive health and the potentially non-inclusive approach of actors in the field. These issues force communities to carry out actions outside the scope of ordinary regulations, and they highlight the political positioning of the public-health field in France.

Introduction: Depuis 2017, la loi française a mis fin à la nécessité d'intervention médicale et de stérilisation des personnes faisant modifier leur sexe administratif à l'état civil. Pour autant, aucun cadre législatif n'a été prévu pour garantir leur droit à la famille, ancrant leurs projets parentaux dans un aléa social, politique et juridique contraire aux droits humains et internationaux. Parallèlement, l'État français s'est doté d'un arsenal de stratégies de santé contraignant la place et le rôle des actrices et acteurs de terrain. But de l'étude: Cette étude interroge les possibilités des actrices et acteurs de santé publique à promouvoir la santé reproductive des personnes en l'absence de toute législation et dans un contexte d'adversité politique et législative. Pour cela, elle s'appuie sur une analyse participative, critique et lexicométrique des stratégies nationales de santé sexuelle et reproductive et de soutien à la parentalité. Résultats: La parentalité des personnes trans est absente des stratégies de gouvernance. Les politiques de santé sexuelle et reproductive se centrent autour de la lutte contre les infections sexuellement transmissibles, les parcours de santé et les discriminations et violences. L'analyse fait également ressortir la méconnaissance de cet enjeu. Conclusions: Les manquements du cadre législatif et des stratégies de santé publique interrogent les possibilités éthiques pour les actrices et acteurs de terrain de promouvoir la santé reproductive de manière non inclusive. Ce constat condamne les communautés à mener des actions en dehors du droit commun et pose la question de la place politique du champ de la santé publique en France.

A curious case of retrogenesis in language: Automated analysis of language patterns observed in dementia patients and young children.

Introduction: While linguistic retrogenesis has been extensively investigated in the neuroscientific and behavioral literature, there has been little work on retrogenesis using computerized approaches to language analysis. Methods: We bridge this gap by introducing a method based on comparing output of a pre-trained neural language model (NLM) with an artificially degraded version of itself to examine the transcripts of speech produced by seniors with and without dementia and healthy children during spontaneous language tasks. We compare a range of linguistic characteristics including language model perplexity, syntactic complexity, lexical frequency and part-of-speech use across these groups. Results: Our results indicate that healthy seniors and children older than 8 years share similar linguistic characteristics, as do dementia patients and children who are younger than 8 years. Discussion: Our study aligns with the growing evidence that language deterioration in dementia mirrors language acquisition in development using computational linguistic methods based on NLMs. This insight underscores the importance of further research to refine its application in guiding developmentally appropriate patient care, particularly in early stages.

"Right Into the Center": A Semantic Analysis of Direction in Operating Room Instruction.

OBJECTIVE: In our previous work, teaching surgeons used potentially ambiguous language in the OR 12.3 times per minute. Our objectives were to examine ambiguous examples featuring Directional Frame of Reference (DFoR), which involves instructions containing directional terms like "up" or "left," and to uncover what contributes to understanding or misunderstanding of such instruction. DESIGN: We videorecorded the critical moments of 6 surgeries, as chosen by the surgeons. With a semanticist, we applied constructs from formal semantics to choose potentially ambiguous DFoR terms commonly flagged in our previous work. We separately interviewed attending and resident surgeons, asking each to describe the meaning of those DFoR terms while they viewed case recordings alongside transcripts. We compared their responses, analyzing them for agreement in direction. We performed thematic analysis on case and interview transcripts for themes related to DFoR. SETTING: Midwestern academic university teaching hospital. PARTICIPANTS: Six attending and 6 resident surgeons. RESULTS: Attending and resident surgeons disagreed on direction in 9 of the 26 (34.6%) DFoR examples. Misunderstanding arose from using linear direction to describe three-dimensional space, e.g., "up" for anterior/cephalad/right. It also arose when combining degree modifiers with DfoR, e.g., "we're far enough back" combines the ambiguities of "back" (DfoR) and "far enough" (degree modifier). Use of axial parts (noun-like directional terms), e.g., "bottom," and confusing "left" for "right" also provoked misunderstanding. Misunderstanding was associated with lack of experience and mitigated by pointing with a finger or instrument, concurrent with speech. CONCLUSIONS: Use of ambiguous language with DFoR incurs a high potential for misunderstanding, especially with novice surgeons. We recommend avoiding linear directions and axial parts, and instead physically pointing to represent complex 3D directions. Degree modifiers can be replaced with exact distances e.g., replace "little more anterior" with "1 centimeter anterior," and semaphores can be used to clarify direction.

'My life is a mess but I cope': An analysis of the language children and young people use to describe their own life-limiting or life-threatening condition.

BACKGROUND: Children and young people with life-limiting and life-threatening conditions have multidimensional needs and heterogenous cognitive and communicative abilities. There is limited evidence to support clinicians to tailor their communication to each individual child. AIM: To explore the language children and young people use to describe their own condition, to inform strategies for discussing needs and priorities. DESIGN: Positioned within a social constructivist paradigm, a secondary discourse analysis of semi-structured interview data was conducted incorporating the discourse dynamics approach for figurative language. SETTING/PARTICIPANTS: A total of 26 children and young people aged 5-17 years with life-limiting or life-threatening conditions (6 cancer; 20 non-cancer) were recruited from nine clinical services (six hospitals and three hospices) across two UK nations. RESULTS: The language children and young people use positions them as 'experts in their condition'. They combine medical terminology with their preferred terms for their body to describe symptoms and treatments, and use comparatives and superlatives to communicate their health status. Their language depicts their condition as a 'series of (functional and social) losses', which single them out from their peers as 'the sick one'. Older children and young people also incorporate figurative language to expand their descriptions. CONCLUSION/DISCUSSION: Children and young people can provide rich descriptions of their condition. Paying attention to their lexical choices, and converging one's language towards theirs, may enable more child-centred discussions. Expanding discussions about 'what matters most' with consideration of the losses and differences they have experienced may facilitate a fuller assessment of their concerns, preferences and priorities.

Voice Synthesis Improvement by Machine Learning of Natural Prosody.

Since the advent of modern computing, researchers have striven to make the human-computer interface (HCI) as seamless as possible. Progress has been made on various fronts, e.g., the desktop metaphor (interface design) and natural language processing (input). One area receiving attention recently is voice activation and its corollary, computer-generated speech. Despite decades of research and development, most computer-generated voices remain easily identifiable as non-human. Prosody in speech has two primary components-intonation and rhythm-both often lacking in computer-generated voices. This research aims to enhance computer-generated text-to-speech algorithms by incorporating melodic and prosodic elements of human speech. This study explores a novel approach to add prosody by using machine learning, specifically an LSTM neural network, to add paralinguistic elements to a recorded or generated voice. The aim is to increase the realism of computer-generated text-to-speech algorithms, to enhance electronic reading applications, and improved artificial voices for those in need of artificial assistance to speak. A computer that is able to also convey meaning with a spoken audible announcement will also improve human-to-computer interactions. Applications for the use of such an algorithm may include improving high-definition audio codecs for telephony, renewing old recordings, and lowering barriers to the utilization of computing. This research deployed a prototype modular platform for digital speech improvement by analyzing and generalizing algorithms into a modular system through laboratory experiments to optimize combinations and performance in edge cases. The results were encouraging, with the LSTM-based encoder able to produce realistic speech. Further work will involve optimizing the algorithm and comparing its performance against other approaches.

Signal Smoothing and Syntactic Choices: A Critical Reflection on the UID Hypothesis.

The Smooth Signal Redundancy Hypothesis explains variations in syllable length as a means to more uniformly distribute information throughout the speech signal. The Uniform Information Density hypothesis seeks to generalize this to choices on all linguistic levels, particularly syntactic choices. While there is some evidence for the Uniform Information Density hypothesis, it faces several challenges, four of which are discussed in this paper. First, it is not clear what exactly counts as uniform. Second, there are syntactic alternations that occur systematically but that can cause notable fluctuations in the information signature. Third, there is an increasing body of negative results. Fourth, there is a lack of large-scale evidence. As to the fourth point, this paper provides a broader array of data-936 sentence pairs for nine syntactic constructions-and analyzes them in a test setup that treats the hypothesis as a classifier. For our data, the Uniform Information Density hypothesis showed little predictive capacity. We explore ways to reconcile our data with theory.

Exploring the Association Between Textual Parameters and Psychological and Cognitive Factors.

Background: Textual data analysis has become a popular method for examining complex human behavior in various fields, including psychology, psychiatry, sociology, computer science, data mining, forensic sciences, and communication studies. However, identifying the most relevant textual parameters for analyzing complex behavior is still a challenge. Goal of Study: This paper aims to explore potential textual parameters that could be useful in analyzing behavior through complex textual data. Furthermore, we have examined the randomly generated text based on different textual parameters. Methods: To achieve this goal, we conducted a comprehensive review of the literature on textual data analysis and identified several potential topics that could be relevant, such as sentiment analysis, discourse analysis, lexical analysis, and syntactic analysis. We discuss the theoretical background and practical implications of each parameter and provide examples of how they have been used in previous research. Furthermore, we highlight the importance of considering the context in which these parameters are applied and the need for interdisciplinary collaboration to gain a deeper understanding of complex behavior through textual data analysis. Furthermore, we have provided Python code in the Supplementary Materials to facilitate a comprehensive analysis of such behaviors. In addition, to generate the text for analysis, we utilized ChatGPT 3.5 Turbo by requesting it to generate a random text of 1000 words divided into five paragraphs. Afterwards, we applied the provided Python code to analyze the randomly generated text. Conclusion: Overall, this paper provides a foundation for researchers to identify relevant textual parameters to analyze complex human behavior in their respective fields such as linguistics, sociology, psychiatry, and psychology.

Speech markers to predict and prevent recurrent episodes of psychosis: A narrative overview and emerging opportunities.

Preventing relapse in schizophrenia improves long-term health outcomes. Repeated episodes of psychotic symptoms shape the trajectory of this illness and can be a detriment to functional recovery. Despite early intervention programs, high relapse rates persist, calling for alternative approaches in relapse prevention. Predicting imminent relapse at an individual level is critical for effective intervention. While clinical profiles are often used to foresee relapse, they lack the specificity and sensitivity needed for timely prediction. Here, we review the use of speech through Natural Language Processing (NLP) to predict a recurrent psychotic episode. Recent advancements in NLP of speech have shown the ability to detect linguistic markers related to thought disorder and other language disruptions within 2-4 weeks preceding a relapse. This approach has shown to be able to capture individual speech patterns, showing promise in its use as a prediction tool. We outline current developments in remote monitoring for psychotic relapses, discuss the challenges and limitations and present the speech-NLP based approach as an alternative to detect relapses with sufficient accuracy, construct validity and lead time to generate clinical actions towards prevention.

Trayectoria del trastorno formal del pensamiento, desde la observación clínica al análisis computacional / Trajectory of formal thought disorder, from clinical observation to computational analysis

La adecuada comprensión de un término psicopatológico requiere, no solo del conocimiento de la alteración descrita, sino también de los contextos y conceptos a partir de los cuales fue acuñado y de la transformación de los mismos a lo largo del tiempo. En el caso del trastorno formal del pensamiento se describe su evolución desde su incorporación a la psicopatología con fines puramente descriptivos y asociado a la influencia del asociacionismo y a la idea de una dependencia directa entre pensamiento y lenguaje hasta la actualidad, en que el uso de herramientas computacionales y de hipótesis provenientes de la lingüística han promovido su uso como instrumento diagnóstico y marcador pronóstico, al tiempo que ha significado la incorporación de nueva terminología. (AU)

Properly understanding a psychopathological term requires knowledge of the disorder described, the contexts and concepts from which it was coined, and its modification over time. In the case of formal thought disorder, we describe its evolution from its incorporation into psychopathology for purely descriptive purposes and associated with the influence of associationism and the idea of a direct dependence between thought and language to the present day, in which the use of computational tools and hypotheses from linguistics have promoted its use as a diagnostic tool and prognostic marker, while simultaneously leading to the incorporation of new terminology. (AU)

Minimal Compositionality versus Bird Implicatures: two theories of ABC-D sequences in Japanese tits.

It was argued in a series of experimental studies that Japanese tits (Parus minor) have an ABC call that has an alert function, a D call that has a recruitment function, and an ABC-D call that is compositionally derived from ABC and D, and has a mobbing function. A key conclusion was that ABC-D differs from the combination of separate utterances of ABC and of D (e.g. as played by distinct but close loudspeakers). While the logic of the argument is arguably sound, no explicit rule has been proposed to derive the meaning of ABC-D from that of its parts. We compare two analyses. One posits a limited instance of semantic compositionality ('Minimal Compositionality'); the other does without compositionality, but uses instead a more sophisticated pragmatics ('Bird Implicatures'). Minimal Compositionality takes the composition of ABC and D to deviate only minimally from what would be found with two independent utterances: ABC means that 'there is something that licenses an alert', D means that 'there is something that licenses recruitment', and ABC-D means that 'there is something that licenses both an alert and recruitment'. By contrast, ABC and D as independent utterances yield something weaker, namely: 'there is something that licenses an alert, and there is something that licenses recruitment', without any 'binding' across the two utterances. The second theory, Bird Implicatures, only requires that ABC-D should be more informative than ABC, and/or than D. It builds on the idea, proposed for several monkey species, that a less-informative call competes with a more informative one (the 'Informativity Principle'): when produced alone, ABC and D trigger an inference that ABC-D is false. We explain how both Minimal Compositionality and Bird Implicatures could have evolved, and we compare the predictions of the two theories. Finally, we extend the discussion to some chimpanzee and meerkat sequences that might raise related theoretical problems.

Fragrance lexicon for analysis of consumer-generated perfume reviews in Russian and English.

In recent years, there has been a rise in research on sensorium in various academic disciplines. Olfaction is recognized as a sense that is most closely linked to cognition, memory and emotion. Due to this unique feature, studies on various aspects of human olfaction are steadily gaining prominence in the humanities and social sciences. In order to understand how the olfactory modality is marked, several taxonomies and semantic spaces of olfactory terms have been developed. However, the focus has been on the general olfaction lexicon and there is a lack of systematic and comprehensive lexicons for fragrant smells. This article addresses this gap. It adopts a multilingual perspective and describes the process of developing a fragrance lexicon in two languages, Russian and English. A fragrance lexicon refers to a list of words that people might use to describe a perfume. The steps in the lexicon development included •sourcing the lexical items in the two languages•translating and cleaning the word lists•revising and refining the lexiconThe fragrance lexicon presented in this article can be used to aid linguistic analyses of naturally occurring communications about perfumes, such as computational analyses of consumer-generated perfume reviews.

Visual reconstructions of endometriosis pain: An interdisciplinary visual methodology for illness representation.

OBJECTIVES: Endometriosis is a chronic condition in which tissue resembling the endometrium grows outside of the womb, causing severe chronic pain. Research demonstrates the physical, emotional and quality of life impact on people with endometriosis, but pain is reportedly difficult to communicate, resulting in lengthier diagnosis. This work aimed to gain insight into the value of imagery production as a pain communication strategy through a novel synergy of psychological and linguistic/socio-semiotic approaches. DESIGN: A qualitative, multimodal, participant-generated imagery study. METHODS: Interpretative phenomenological analysis (IPA) and conceptual metaphor and metonymy analysis were utilized to examine visual representations of endometriosis pain. Data were collected in two focus groups with four and six women, respectively; all with a diagnosis of endometriosis, aged 25-40 years old (M = 34.5, SD = 4.2) and a mean diagnosis delay of 8.4 years (SD = 3.6). RESULTS: The overarching theme across visual representations was 'Pain as Physical Violence' with 'colour as emotional representation', 'texture as sensory qualities' and 'materials as sensation' as sub-themes. These are realized through metaphorical and metonymical relations in both the visual representations as well as the accompanying linguistic representation of the process. CONCLUSIONS: This study demonstrates the value of a creative mixed-methodologies approach to capture experiential aspects of pain and its impact that are not verbalized in linguistic accounts alone. This can facilitate a deeper understanding of one's pain, acting as a medium for therapeutic adjustment to occur, while facilitating effective and empathic patient-professional conversations surrounding pain.

Word Length in Political Public Speaking: Distribution and Time Evolution.

In this paper, word length in the texts of public speeches by USA and UK politicians is analyzed. More than 300 speeches delivered over the past two hundred years were studied. It is found that the lognormal distribution better describes the distribution of word length than do the Weibull and Poisson distributions, for example. It is shown that the length of words does not change significantly over time (the average value either does not change or slightly decreases, and the mode slightly increases). These results are fundamentally different from those obtained previously for sentence lengths and indicate that, in terms of quantitative linguistic analysis, the word length in politicians' speech has not evolved over the last 200 years and does not obey the principle of least effort proposed by G. Zipf.

Acquiring a language vs. inducing a grammar.

Standard computational models of language acquisition treat acquiring a language as a process of inducing a set of string-generating rules from a collection of linguistic data assumed to be generated by these very rules. In this paper I give theoretical and empirical arguments that such a model is radically unlike what a human language learner must do to acquire their native language. Most centrally, I argue that such models presuppose that linguistic data is directly a product of a grammar, ignoring the myriad non-grammatical systems involved in the use of language. The significance of these non-target systems in shaping the linguistic data children are exposed to undermines any simple reverse inference from linguistic data to grammatical competence.

Does neuroscience research change behaviour? A scoping review and case study in obesity neuroscience.

The language employed by researchers to define and discuss diseases can itself be a determinant of health. Despite this, the framing of diseases in medical research literature is largely unexplored. This scoping review examines a prevalent medical issue with social determinants influenced by the framing of its pathogenesis: obesity. Specifically, we compare the currently dominant framing of obesity as an addiction to food with the emerging frame of obesity developing from neuroinflammation. We triangulate both corpus linguistic and bibliometric analysis of the top 200 most engaging neuroscience journal articles discussing obesity that were published open access in the past 10 years. The constructed Neurobesity Corpus is available for public use. The scoping review analysis confirmed that neuroinflammation is an emerging way for obesity to be framed in medical research. Importantly, the articles analysed that discussed neuroinflammation were less likely to use crisis terminology, such as referring to an obesity "epidemic". We highlight a potential relationship between the adoption of addiction frames and the use of stigmatising language in medical research.