Bibliographic record
Abstract
Workers at risk: Families serving alongside Heidi Cramm, Marilyn Cox, and Deborah Norris focus on the families of public safety personnel and health care workers (PSP and HCW), plus how the risks and requirements of the job impact them. Public safety personnel (PSP) and health care workers (HCW) are dedicated to serving our communities, and that commitment can take a toll on the mental and physical well-being of both the workers and their families. Cramm, Cox, and Norris work with the Families Matter Research Group (FMRG), a large team of researchers, educators, and trainees, some of whom are PSP and HCW family members themselves. The FMRG recognizes the commitments and demands associated with public safety and healthcare work and the effects these have on family life and relationships beyond the workplace. Their primary objective is to form partnerships with families, workplaces, and other service providers to understand better the experience and needs of PSP and HCW families and promote evidence-informed programs and policies to support their health and well-being.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.028 | 0.005 |
| Scholarly communication | 0.004 | 0.007 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".