Sexual Misconduct in the Military: The Impact of Situational Factors on Bystander Intervention Strategies
Bibliographic record
Abstract
Intervening is frequently encouraged to prevent or respond to sexual misconduct. However, due to the characteristics of military organizations (e.g., hierarchical structure), intervening may be challenging in military contexts. The aim of this study is to examine situational factors present in militaries (e.g., bystander’s rank relative to the perpetrator’s) that may impact the use of direct or indirect intervention strategies. A sample of Canadian Armed Forces members completed a scenario-based experiment. The results revealed that rank of the bystander, gender of the target, and severity of the situation impacted the use of direct intervention strategies, and the bystander’s rank relative to the perpetrator’s, gender of the target, and severity of the situation impacted the use of indirect intervention strategies. These findings highlight where direct and indirect interventions are unlikely to occur and situations that warrant greater focus in training programs and in communications from leadership.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".