Battling COVID-19: Public Personnel Management, Trust, and Social Resilience During a Global Crisis
Why this work is in the frame
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Bibliographic record
Abstract
We present three studies that examine the relationship between perceptions about public personnel management and social resilience during a crisis among frontline public healthcare servants who battled the COVID-19 pandemic. Based on theories of public personnel management, crisis management, trust, and resilience, we suggest a model and hypotheses that may extend our knowledge about perceived social resilience, both internal (organizational) and external (communal and national). We tested our model with the results of an online survey conducted in early 2021 among 437 healthcare employees from the Ministry of Health ( n 1 = 87), hospitals ( n 2 = 200), and Health Maintenance Organizations (HMOs; n 3 = 150) across Israel. The findings generally support direct and indirect relationships between perceptions of good public personnel management, defined as healthcare system resilience, participation in decision-making and information sharing, and group-level organizational citizenship behavior, and perceived national and community resilience, and trust. Implications, extensions, and recommendations for future theoretical and empirical studies are discussed along with practical proposals.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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