The impact of COVID-19 on police officer wellness
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
Disaster policing requires considerably more effort than working under normal conditions, thereby exacerbating existing threats to employee wellness. Research suggests that such working conditions may be harmful to physical and mental health outcomes, including increasing absenteeism. This study relies on personnel records from 3,398 police officers across 12 police services to determine the extent to which the COVID-19 pandemic impacted police officer work attendance and absenteeism, controlling for officer – and community-level characteristics. Results indicate that compared to the previous time-period, work attendance decreased during the COVID-19 pandemic and absenteeism increased. Data shows that a greater proportion of officers worked fewer days during the pandemic compared to the time-period before, and a smaller proportion worked a greater number of days. Multilevel mixed effects models indicate that COVID-19 largely contributed to decreasing attendance and increasing absenteeism beyond the effects of community conditions and officer demographics.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 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 | 0.002 | 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) | 0.000 | 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 it