“Nobody remembers them”: Exploring the Moral Weight of the Thin Blue Line Patch and the Potential for Moral Injury Among Canadian Police
Bibliographic record
Abstract
The Thin Blue Patch (TBL) in Canada is laced in controversy. However, what is unclear, given the patch is a symbol to commemorate fallen officers, including those completing suicide, is if the moratorium on the patch further stigmatizes mental health. And if so, does this undermine efforts in policing to legitimize and destigmatize mental health? Decisions regarding patches tied to police officer identity and culture may underpin moral injuries in police officers – who may already be organizationally and operationally worn down. Placing moratoriums on a patch that is culturally meaningful to police officer identity, and is intended to normalize mental health complications tied to trauma exposure and help-seeking, may re-stigmatize mental health in novel and unintentional ways. The TBL patch is not simply tied to the commemoration of fallen officers. It also recognizes officers who are struggling on a day-to-day basis, who ‘nobody remembers’, and brings to light policing’s collateral impacts on mental health through shared struggles.
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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 | 0.009 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.036 | 0.021 |
| Scholarly communication | 0.012 | 0.006 |
| Open science | 0.004 | 0.007 |
| Research integrity | 0.002 | 0.009 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".