Examining Military Sexual Abuse: A Comparative Study of Canadian and Polish Contemporary Armed Forces
Bibliographic record
Abstract
Sexual abuse within the military remains a persistent and complex issue, casting a shadow over the integrity and effectiveness of the armed forces. This chapter offers a comparative examination of the multifaceted nature of sexual harassment in the Canadian and Polish military, clarifying its prevalence and far-reaching consequences. The study examines various forms of sexual harassment encountered within the military hierarchy, from subtle microaggressions to outright assaults, and explores factors such as organizational culture as well as institutional responses that perpetuate this pervasive problem. Moreover, it examines the impact of sexual abuse on individual victims, unit cohesion, operational effectiveness, and the overall military image. By analyzing definitional frameworks, existing policies, and procedures, it identifies shortcomings and proposes recommendations for comprehensive reform. Ultimately, the objective of this examination is to contribute to an understanding of sexual harassment in the military and to catalyze meaningful action to promote a culture of respect, equality, and safety within the armed forces.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.016 |
| Science and technology studies | 0.014 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".