The Current State of Military Family Research
Bibliographic record
Abstract
Since the 1990s, the nature, frequency, and intensity of military operations have shifted, and these shifts have, in turn, had an impact on the families of Canada’s military personnel. Operational tempo has increased and has been almost continuous, and the roles of Canadian Armed Forces (CAF) personnel1 have changed from “peacekeepers to peacemakers to warriors.” In 2013, the Office of the Ombudsman, National Defence and Canadian Forces released its seminal report on military family health and well-being, On the Homefront: Assessing the Well-being of Canada’s Military Families in the New Millennium. This report brought into view the contexts, meanings, and consequences associated with recent changes in CAF military operations for members, Veterans, and families.
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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 | 0.026 | 0.051 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.009 | 0.022 |
| Science and technology studies | 0.006 | 0.007 |
| Scholarly communication | 0.008 | 0.010 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.030 | 0.003 |
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".