Re-integration: a new standard in first responder peer support
Bibliographic record
Abstract
Since its inception, the Edmonton Police Service (EPS) Re-integration Program has grown in its capacity, impact, and service to members within EPS. It has also attracted increasing attention among—and emulation by—other first responder communities in the province of Alberta. Most recently, the program was the subject of a featured segment during the joint Canadian Association of Chiefs of Police (CACP) and Mental Health Commission of Canada (MHCC) international conference, “The Mental Health of Police Personnel: What We Know & What We Need to Know and Do”, held in February 2017. Based on the strong reception and interest generated among conference delegates, the Journal of CSWB invited the program’s architects to develop the following Practice Guideline article, with a view to bringing wider awareness to this unique peer-supported program. The EPS program connects conventional counselling and support resources with aspects of recovery and re-integration that are more closely tied to the equipment and operational realities of first responders.
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 | 0.108 | 0.124 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.014 | 0.043 |
| Scholarly communication | 0.029 | 0.036 |
| Open science | 0.010 | 0.026 |
| Research integrity | 0.013 | 0.030 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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".