Mind the gap: Sex, gender, and intersectionality in military-to-civilian transitions
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
LAY SUMMARY The authors conducted a review of existing research on sex, gender, and intersectionality in relation to military-to-civilian transition (MCT). Extensive international studies and government resources, mostly from the United States, provide insight into the potential vulnerabilities and challenges encountered by historically under-represented military members and Veterans during MCT (i.e., by women, lesbian, gay, bisexual, transgender, and other sexual or gender minority, Black, Indigenous, and People of Colour military service members and Veterans). The reviewed sources also highlight government initiatives and tailored programs that exist internationally to address diverse Veteran needs. Canadian research and government initiatives on the topic are limited, and this gap needs to be kept in mind. To support equitable transition outcomes for all Veterans, research as well as policies, programs, and supports need to pay attention to sex and gender as well as intersecting factors such as sexuality, race, Indigeneity, and more.
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.
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 | 0.002 | 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 it