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
Mental health problems among police employees are exacerbated by negative attitudes and beliefs around mental health help-seeking that are perpetuated by police culture. We collected anonymous survey data from 259 civilian and commissioned police employees in a mid-sized, Midwestern U.S. city to test hypothesized relationships among help-seeking stigma, help-seeking attitudes, and intended help-seeking behavior. Results demonstrated that mental help-seeking stigma was negatively associated with help-seeking attitudes, and in turn with reduced mental health help-seeking intentions. Structural equation modeling provided support for a model linking help-seeking stigma, help-seeking attitudes, and intentions to seek help. This path model was moderated by psychological distress and previous participation in mindfulness training, which had opposing effects on help-seeking stigma and (indirectly) on intended help-seeking. Results provide insight into policies, practices, and interventions that police agencies may enact to combat stigma, positively influence mental health help-seeking, and improve the mental health and well-being of police employees and the broader community.
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 | 0.001 | 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) | 0.000 | 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