Positive behavioral change during the COVID‐19 crisis: The role of optimism and collective resilience
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
While the issue of behavioral change is of increasing interest to academics and practitioners, an understanding of its drivers remains limited. Consistent with the possibility that destabilizing events can trigger the implementation of beneficial changes in one's life, this research studies the COVID-19 pandemic and its influence on the adoption of positive habits. More specifically, it focuses on positive health and lifestyle-related behavioral changes observed within the confined population, as well as the antecedents of such changes. Two surveys conducted 1 month apart in an urban setting severely affected by the pandemic confirm the role of optimism toward the crisis as an antecedent to four changes: slowdown in pace of life, decluttering of personal space, reflection on consumption habits and adoption of healthy behaviors. Collective resilience, social support and anxiety are identified as determinants of optimism. Results suggest an evolution of certain relations including the increase of collective resilience effect on optimism over time.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it