A force to imagine: A feminist rethinking of universality of service
Bibliographic record
Abstract
LAY SUMMARY The Canadian Armed Forces (CAF) is at a critical juncture as it seeks to reconstitute under a new framework of cultural change. Supporting this cultural shift are internal and external reports, surveys, advisory panels, class action lawsuits, and academic literature that acknowledge the systemic and structural barriers that must be addressed to realize the cultural change sought. Aligned with federal commitments to Gender-Based Analysis Plus, the authors call for the application of an anti-oppression lens to reimagine the principle that underpins the personnel management system: the universality of service. In doing so, this article discusses the policy implications and opportunities of turning an anti-oppression lens on the taken-for-granted principle within the military that has historically been employed in a discriminatory way. Such an approach would challenge the blanket application of the policy and enable the CAF to integrate culture change into its implementation of key strategic goals, including long-term reconstitution efforts.
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 | 0.012 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.019 | 0.109 |
| Scholarly communication | 0.013 | 0.011 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.008 | 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".