The Impact of Military Sexual Misconduct on the Deployment Experiences of Woman-Identifying Canadian Veterans
Bibliographic record
Abstract
The present research examined how military sexual misconduct (MSM) impacts the perceived experiences of unit cohesion in a sample of woman-identifying Canadian military Veterans. Semi-structured interviews were conducted with 13 veterans, asking questions about deployment-related factors (e.g., rewarding/challenging aspects). Although MSM was not explicitly probed for, it was widely discussed in relation to participants’ experiences of unit cohesion. Thematic analysis yielded three themes describing participants’ perceived feelings of unit cohesion—value, acceptance, and unity. In contexts where MSM was present, participants described feelings of being undermined, resulting in a degraded experience of unit cohesion. In contexts where MSM was absent, participants described value, acceptance, and unity as being improved, as well as an enhanced experience of unit cohesion. These findings provide an exploratory model by which to consider the impact of MSM on the gendered experience of unit cohesion.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.006 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".