The societal relevance of communities in the<scp>COVID</scp>‐19 era
Bibliographic record
Abstract
The COVID-19 pandemic represents an unprecedented and truly global social threat in recent human history. Understanding the impacts of the pandemic on our communities, as well as investigating and fostering effective responses, represents a genuinely interdisciplinary challenge, which deeply involves psychology. Social and community psychologists are working to understand the psychological processes characterizing individual, familial, institutional, and communities’ reactions to the pandemic worldwide. The present special issue consists of 15 articles from three continents (Europe, North and South America, and Asia) on the COVID-19 pandemic, how it is affecting various communities, and how communities are coping with the various local and societal dilemmas stemming from this dramatic health event. The articles make use of different methodologies, including correlational and longitudinal quantitative examinations as well as qualitative analyses. The studies consider a high number of participants (approximately 14,000) across a wide range of participant types, including older adults, women victims of violence, politicians, community samples, and representative samples. We hope that the special issue can help academics and practitioners to understand the phenomenon of the COVID-19 pandemic and how to foster active and supportive responses from individuals and communities at all levels, both societally and globally.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.004 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".