Metajudgment: Metatheories and Beliefs About Good Judgment Across Societies.

We introduce the concept of "metajudgment" to provide a framework for understanding folk standards people use to navigate everyday decisions. Defined as a set of metatheories and beliefs about different types of judgment, metajudgment serves as the guiding principle behind the selection and application of reasoning strategies in various contexts. We review emerging studies on metajudgment to identify common dimensions, such as intuition versus deliberative reasoning and rationality versus reasonableness. These dimensions are examined across multiple societies. The reviewed findings illuminate an apparent paradox: Universal adaptive challenges produce largely consistent folk standards of judgment across cultures, whereas situational demands drive systematic within-person variability. Metajudgment offers a comprehensive framework for understanding diverse reasoning patterns in individual and cross-cultural contexts, calling for greater attention to the ecologically sensitive study of within-person judgmental variability.

CHAI: consensus clustering through similarity matrix integration for cell-type identification.

Several methods have been developed to computationally predict cell-types for single cell RNA sequencing (scRNAseq) data. As methods are developed, a common problem for investigators has been identifying the best method they should apply to their specific use-case. To address this challenge, we present CHAI (consensus Clustering tHrough similArIty matrix integratIon for single cell-type identification), a wisdom of crowds approach for scRNAseq clustering. CHAI presents two competing methods which aggregate the clustering results from seven state-of-the-art clustering methods: CHAI-AvgSim and CHAI-SNF. CHAI-AvgSim and CHAI-SNF demonstrate superior performance across several benchmarking datasets. Furthermore, both CHAI methods outperform the most recent consensus clustering method, SAME-clustering. We demonstrate CHAI's practical use case by identifying a leader tumor cell cluster enriched with CDH3. CHAI provides a platform for multiomic integration, and we demonstrate CHAI-SNF to have improved performance when including spatial transcriptomics data. CHAI overcomes previous limitations by incorporating the most recent and top performing scRNAseq clustering algorithms into the aggregation framework. It is also an intuitive and easily customizable R package where users may add their own clustering methods to the pipeline, or down-select just the ones they want to use for the clustering aggregation. This ensures that as more advanced clustering algorithms are developed, CHAI will remain useful to the community as a generalized framework. CHAI is available as an open source R package on GitHub: https://github.com/lodimk2/chai.

Effects of Wisdom-Enhancement Narrative-Therapy and Empathy-Focused interventions on loneliness over 4 weeks among older adults: A Randomized Controlled Trial.

OBJECTIVE: In this three-armed RCT, we tested the effects of a telephone-delivered wisdom enhancement narrative therapy-based intervention (Tele-NT) and a telephone-delivered empathy-focused intervention (Tele-EP) in reducing loneliness against an active control group that received regular call (ACG) at the 4-week follow-up assessment. DESIGN, SETTING, INTERVENTION, AND PARTICIPANTS: To evaluate the effects of the interventions on loneliness, we randomized 287 older adults based in Hong Kong, ages 65 to 90, into Tele-NT (N = 97), Tele-EP (N = 95), or ACG (N = 95). MEASUREMENT: The primary outcome was loneliness, calculated using the De Jong Gierveld Scale and the UCLA Loneliness Scale. Secondary outcomes were sleep quality, depressive symptoms, social network engagement, and perceived social support. Assessments were done before training and 4 weeks after the intervention period. RESULTS: Results from linear mixed models showed significant positive effects of Tele-NT on loneliness measured by the De Jong Gierveld Loneliness Scale compared to ACG. Compared to the ACG, the Tele-NT group significantly reduced loneliness at the 4-week follow-up (mean difference = -0.51, p = 0.019, Cohen's d = 0.60). However, the difference between Tele-EP and the ACG at the 4-week follow-up was not significant (MD = -0.34, p = 0.179, Cohen's d = 0.49). Tele-NT and Tele-EP did not show significant effects on the secondary outcomes, compared to the ACG. CONCLUSIONS: In this randomized clinical trial, we found that a 4-week wisdom enhancement narrative therapy program significantly reduced feelings of loneliness. This effective telephone-based, lay-therapist-delivered program is scalable for broader implementation.

Leaderless consensus decision-making determines cooperative transport direction in weaver ants.

Animal groups need to achieve and maintain consensus to minimize conflict among individuals and prevent group fragmentation. An excellent example of a consensus challenge is cooperative transport, where multiple individuals cooperate to move a large item together. This behaviour, regularly displayed by ants and humans only, requires individuals to agree on which direction to move in. Unlike humans, ants cannot use verbal communication but most likely rely on private information and/or mechanical forces sensed through the carried item to coordinate their behaviour. Here, we investigated how groups of weaver ants achieve consensus during cooperative transport using a tethered-object protocol, where ants had to transport a prey item that was tethered in place with a thin string. This protocol allows the decoupling of the movement of informed ants from that of uninformed individuals. We showed that weaver ants pool together the opinions of all group members to increase their navigational accuracy. We confirmed this result using a symmetry-breaking task, in which we challenged ants with navigating an open-ended corridor. Weaver ants are the first reported ant species to use a 'wisdom-of-the-crowd' strategy for cooperative transport, demonstrating that consensus mechanisms may differ according to the ecology of each species.

Collective Intelligence-Based Participatory COVID-19 Surveillance in Accra, Ghana: Pilot Mixed Methods Study.

BACKGROUND: Infectious disease surveillance is difficult in many low- and middle-income countries. Information market (IM)-based participatory surveillance is a crowdsourcing method that encourages individuals to actively report health symptoms and observed trends by trading web-based virtual "stocks" with payoffs tied to a future event. OBJECTIVE: This study aims to assess the feasibility and acceptability of a tailored IM surveillance system to monitor population-level COVID-19 outcomes in Accra, Ghana. METHODS: We designed and evaluated a prediction markets IM system from October to December 2021 using a mixed methods study approach. Health care workers and community volunteers aged ≥18 years living in Accra participated in the pilot trading. Participants received 10,000 virtual credits to trade on 12 questions on COVID-19-related outcomes. Payoffs were tied to the cost estimation of new and cumulative cases in the region (Greater Accra) and nationwide (Ghana) at specified future time points. Questions included the number of new COVID-19 cases, the number of people likely to get the COVID-19 vaccination, and the total number of COVID-19 cases in Ghana by the end of the year. Phone credits were awarded based on the tally of virtual credits left and the participant's percentile ranking. Data collected included age, occupation, and trading frequency. In-depth interviews explored the reasons and factors associated with participants' user journey experience, barriers to system use, and willingness to use IM systems in the future. Trading frequency was assessed using trend analysis, and ordinary least squares regression analysis was conducted to determine the factors associated with trading at least once. RESULTS: Of the 105 eligible participants invited, 21 (84%) traded at least once on the platform. Questions estimating the national-level number of COVID-19 cases received 13 to 19 trades, and obtaining COVID-19-related information mainly from television and radio was associated with less likelihood of trading (marginal effect: -0.184). Individuals aged <30 years traded 7.5 times more and earned GH ¢134.1 (US $11.7) more in rewards than those aged >30 years (marginal effect: 0.0135). Implementing the IM surveillance was feasible; all 21 participants who traded found using IM for COVID-19 surveillance acceptable. Active trading by friends with communal discussion and a strong onboarding process facilitated participation. The lack of bidirectional communication on social media and technical difficulties were key barriers. CONCLUSIONS: Using an IM system for disease surveillance is feasible and acceptable in Ghana. This approach shows promise as a cost-effective source of information on disease trends in low- and middle-income countries where surveillance is underdeveloped, but further studies are needed to optimize its use.

Removal of mandibular third molars: An overview of risks, a proposal for international community and guidance.

The aim of this proposal is to (1) review the current literature, (2) shed light on the importance of creating universally accepted guidelines, (3) provide help and guidance in the decision-making process with regard to the removal of mandibular third molars (M3Ms), and (4) reduce the risk of exposing the patient to unnecessary harm and complications due to the inappropriate removal or retention of M3Ms.It is obvious that the indications for the extraction of M3Ms will continue to be an area of controversy and strong debate. The evidence for or against prophylactic extraction is ambivalent; there is evidence to accept or reject the stance against prophylactic extraction in some specific cases, and there are published articles to support both opposing views. The available guidelines on the extraction of third molars are limited in number, and are mostly tailored to fit specific settings or countries. There are no available guidelines that might be widely used to help in the decision-making process for the international community. We hope this proposal will constitute an important first step toward creating universally accepted guidance.

The wisdom of the crowd with partial rankings: A Bayesian approach implementing the Thurstone model in JAGS.

We develop a Bayesian method for aggregating partial ranking data using the Thurstone model. Our implementation is a JAGS graphical model that allows each individual to rank any subset of items, and provides an inference about the latent true ranking of the items and the relative expertise of each individual. We demonstrate the method by analyzing data from new experiments that collected partial ranking data. In one experiment, participants were assigned subsets of items to rank; in the other experiment, participants could choose how many and which items they ranked. We show that our method works effectively for both sorts of partial ranking in applications to US city populations and the chronology of US presidents. We discuss the potential of the method for studying the wisdom of the crowd and other research problems that require aggregating incomplete or partial rankings.

Bilateral Jaw Mycobacterium Abscessus Mimicking Actinomycosis: A Postoperative Complication of Wisdom Teeth Extraction.

The incidence of nontuberculous mycobacteria infections has surged over recent decades. Mycobacterium abscessus is one example that can present unique diagnostic challenges due to its variable antibiotic resistance profile and its clinical similarities to Actinomycoses israelii in postodontogenic infections. The authors report a case of a 22-year-old healthy female presenting with bilateral mandibular nodules following wisdom teeth extraction. After a presumptive diagnosis of actinomycosis, cultures revealed a Mycobacterium abscessus infection susceptible to macrolides. Magnetic resonance imaging depicted bilateral sinus tracts without osteomyelitis. The patient opted for dual antibiotic therapy, consisting of azithromycin and omadacycline, without surgical intervention. Given her clinical and radiographic improvement after three months, the patient elected to continue dual antibiotic therapy for 12 months with appropriate clinical and radiographic monitoring. This case underscores the importance of early microbial cultures to guide diagnosis and treatment, particularly considering Mycobacterium abscessus's similarities with other pathogens and its variable macrolide susceptibility due to genetic mutations. As highlighted in this case, clinicians must successfully differentiate between and appropriately treat various nontuberculous mycobacteria.

Timing decisions as the next frontier for collective intelligence.

The past decade has witnessed a growing interest in collective decision making, particularly the idea that groups can make more accurate decisions compared with individuals. However, nearly all research to date has focused on spatial decisions (e.g., food patches). Here, we highlight the equally important, but severely understudied, realm of temporal collective decision making (i.e., decisions about when to perform an action). We illustrate differences between temporal and spatial decisions, including the irreversibility of time, cost asymmetries, the speed-accuracy tradeoff, and game theoretic dynamics. Given these fundamental differences, temporal collective decision making likely requires different mechanisms to generate collective intelligence. Research focused on temporal decisions should lead to an expanded understanding of the adaptiveness and constraints of living in groups.

The Wise Mind Balances the Abstract and the Concrete.

We explored how individuals' mental representations of complex and uncertain situations impact their ability to reason wisely. To this end, we introduce situated methods to capture abstract and concrete mental representations and the switching between them when reflecting on social challenges. Using these methods, we evaluated the alignment of abstractness and concreteness with four integral facets of wisdom: intellectual humility, open-mindedness, perspective-taking, and compromise-seeking. Data from North American and UK participants (N = 1,151) revealed that both abstract and concrete construals significantly contribute to wise reasoning, even when controlling for a host of relevant covariates and potential response bias. Natural language processing of unstructured texts among high (top 25%) and low (bottom 25%) wisdom participants corroborated these results: semantic networks of the high wisdom group reveal greater use of both abstract and concrete themes compared to the low wisdom group. Finally, employing a repeated strategy-choice method as an additional measure, our findings demonstrated that individuals who showed a greater balance and switching between these construal types exhibited higher wisdom. Our findings advance understanding of individual differences in mental representations and how construals shape reasoning across contexts in everyday life.

Wisdom Tooth Autotransplantation for the Missing Maxillary Central Incisors Using a 3D-Printed Replica: A Case Report.

In this case report, we describe a 19-year-old man who underwent an autotransplantation of a lower third molar into the extracted region of his upper central incisors. Due to trauma, the patient's upper right and left central incisors had been extracted. He visited our clinic and requested to perform autotransplantation of his own teeth into the upper central incisor part because he wanted to use his natural teeth. So, we decided to extract his lower right third molar and autotransplant it into the extraction part of the upper central incisors. Immediately after extraction of the lower right third molar, the tooth was autotransplanted into the upper anterior region using a 3D-printed resin replica of the donor tooth and artificial sockets of the recipient site. Then, the root canal treatment was performed, and a temporary crown was set. Next, orthodontic treatment was done to flatten the curve of Spee. After completing the orthodontic treatment, a final prosthodontic restoration was set on the autotransplanted tooth. Four years later, the autotransplanted tooth remained stable with a healthy periodontium. This case demonstrates that if a patient has a request to use their natural teeth, autotransplantation of a wisdom tooth into the anterior region can be a useful method to replace the missing teeth.

Emphatic Memories and Their Meaning in Societal and Legal Contexts: A Narrative Review and Position Paper.

BACKGROUND: Many past and ongoing conflicts in the world are associated with memories. The role of emphatic memories is however often neglected in conflict solving. Therefore, this narrative review gives a short introduction to the phenomenon of emphatic memories and implications for counteracting dysfunctional effects of emphatic memories. SUMMARY: Memory has two connotations. One is remembering and knowing (I can remember when I got married) and on the other is reminding and emphasizing memories (I remind my partner of our wedding day). Memories are less a report on the past but result of current emotions and motives. Emphatic memories serve for self-portrayal and distinction from others, self-exculpation, accusation of others, justification of claims. They are regularly reproachful, have an aggressive character, and are distorted and pseudologic. This is also true on a societal level, as memories are used for defining social groups, and by this for political purposes, in order to juxtapose one group against the other. If memories are revoked, they are regularly accompanied with the very emotions, which were associated with the past event. Corresponding behavior is motivated. Many people suffer from memories and associated emotions and dysfunctional behavior, as is well described in the context of post-traumatic stress disorders. Also, social groups can as a whole suffer from negative emotions because of memories, which may go back up to thousand years. To ensure that memories do not adversely affect individuals and social groups, they should best be forgotten, or at least rescripted, in a way that they are disentangled from negative emotions and motives. An important psychological process in this regard is wisdom and forgiveness, which must not be confused with understanding, justification, tolerating, or reconciliation. Wisdom and forgiveness allow persons to close the books, act self-determined, find freedom from external events, and end suffering because of the past. It is a rational and emotional act. KEY MESSAGES: Emphatic memories can cause that individuals and groups do not find peace and persistently provoke new conflicts. Internal and interactional peace can be found if memories are let alone and fade away. Forgiveness and wisdom describe avenues to let dysfunctional memories go.

Do Not Worry That Generative AI May Compromise Human Creativity or Intelligence in the Future: It Already Has.

Technology alters both perceptions of human intelligence and creativity and the actual processes of intelligence and creativity. Skills that were once important for human intelligence, for example, computational ones, no longer hold anywhere near the same importance they did before the age of computers. The advantage of computers is that they may lead us to focus on what we believe to be more important things than what they have replaced. In the case of penmanship, spelling, or arithmetic computation, such an argument could bear fruit. But in the case of human creativity, the loss of creative skills and attitudes may be a long-term loss to humanity. Generative AI is replicative. It can recombine and re-sort ideas, but it is not clear that it will generate the kinds of paradigm-breaking ideas the world needs right now to solve the serious problems that confront it, such as global climate change, pollution, violence, increasing income disparities, and creeping autocracy.

Wisdom affinity in the general population.

BACKGROUND: Wisdom is an important coping resource for difficult and ambiguous life situations. Wisdom trainings have been developed in clinical and non-clinical settings. What has been missing so far are representative data on wisdom affinity from the general population. These are important regarding needs assessments and identification of risk groups with low wisdom affinity and potential problems in coping with difficult and ambiguous life situations. METHOD: The study examined a population-representative sample of 2509 persons. Socio-demographic data, presence of chronic and mental illnesses was assessed, and wisdom attitudes by the 12-WD Wisdom Scale. The surveys were carried out by means of interviews and self-report questionnaires at the respondents' homes, done by an experienced social research company (USUMA GmbH). RESULTS: Only 6% of the whole sample appeared to be highly wisdom-affirmative (12-WD mean score 10 on scale 0-10), whereas 4% may appear low wisdom-affirm, due to very low agreement (12 WD mean score 0-4). Most of the moderately wisdom-affirm people had a religious denomination (70.9%), whereas only 57-59% of the high or low wisdom-affirm persons reported religious affiliations. Low wisdom-affirm were most often chronically ill (25%), with mental or physical illness in similar frequency, and had significantly more unemployment times than persons with higher wisdom scores. Wisdom affinity was independent from age, gender and age, household situation, and higher school education. CONCLUSION: It must be assumed that people with socio-medical risk factors also have impairments in their wisdom-related problem-solving strategies, and that these can be of interest for transdiagnostic wisdom trainings in prevention or rehabilitation, which has shown positive effects.

Applying cultural perspective in Indonesia municipal solid waste management process towards a grounded climate concept and action: A mini-review of opportunities and challenges.

This mini-review emphasises the role of municipal solid waste (MSW) as the biggest contributor to climate change, as well as the need for more grounded climate action. The UN Framework Convention on Climate Change (UNFCCC) 2023 Synthesis Report by the co-facilitators on the technical dialogue Key Finding 3 of applying the 'whole-of-society' approach in this article is interpreted as a cultural approach in MSW management planning and implementation process. Using anthropological critiques of development, the cultural approach is frequently considered an obstacle or a justification for a project's failure rather than an important aspect of the people being developed. Therefore, the goal of this mini-review is to showcase the findings and explore the practical application of UNFCCC Key Finding 3, emphasising its importance in every phase of the solid waste management process for climate action. This mini-review argues that applying a cultural perspective presents both opportunities and challenges. More importantly, without careful acknowledgement and consideration, opportunities can become challenges, if not vice versa. The discussion section explores the ways in which religious and economic conditions might offer a contextual understanding and effective techniques for managing MSW at the local level. To apply Key Finding 3 in practice, academia needs to move away from generality and embrace multiple 'modernities', while practitioners also need to include cultural perspectives to complement scientific knowledge.

Wisdom and the Bible in Teaching-Learning through Global Service Experiences.

The authors, who are nursing faculty members and leaders at a faith-based institution of higher education, discuss their concept of wisdom and how it guides their teaching and practice. Wisdom is seen by them as a universal humanuniverse living experience that is inspired and cocreated with their faith and understanding of God with others. They apply the concept of wisdom in global service experiences that their institution supports. These experiences strengthen their inherent core whatness as they cocreate what is important in the moment while participating in teaching-learning.

Promoting Erroneous Divergent Opinions Increases the Wisdom of Crowds.

The aggregation of many lay judgments generates surprisingly accurate estimates. This phenomenon, called the "wisdom of crowds," has been demonstrated in domains such as medical decision-making and financial forecasting. Previous research identified two factors driving this effect: the accuracy of individual assessments and the diversity of opinions. Most available strategies to enhance the wisdom of crowds have focused on improving individual accuracy while neglecting the potential of increasing opinion diversity. Here, we study a complementary approach to reduce collective error by promoting erroneous divergent opinions. This strategy proposes to anchor half of the crowd to a small value and the other half to a large value before eliciting and averaging all estimates. Consistent with our mathematical modeling, four experiments (N = 1,362 adults) demonstrated that this method is effective for estimation and forecasting tasks. Beyond the practical implications, these findings offer new theoretical insights into the epistemic value of collective decision-making.

Large Language Models and the Wisdom of Small Crowds.

Recent advances in Large Language Models (LLMs) have raised the question of replacing human subjects with LLM-generated data. While some believe that LLMs capture the "wisdom of the crowd"-due to their vast training data-empirical evidence for this hypothesis remains scarce. We present a novel methodological framework to test this: the "number needed to beat" (NNB), which measures how many humans are needed for a sample's quality to rival the quality achieved by GPT-4, a state-of-the-art LLM. In a series of pre-registered experiments, we collect novel human data and demonstrate the utility of this method for four psycholinguistic datasets for English. We find that NNB > 1 for each dataset, but also that NNB varies across tasks (and in some cases is quite small, e.g., 2). We also introduce two "centaur" methods for combining LLM and human data, which outperform both stand-alone LLMs and human samples. Finally, we analyze the trade-offs in data cost and quality for each approach. While clear limitations remain, we suggest that this framework could guide decision-making about whether and how to integrate LLM-generated data into the research pipeline.