Children's positive experiences growing up in Canadian military households
Bibliographic record
Abstract
Introduction: A small body of literature based almost exclusively on US military families suggests that there are positive aspects to growing up in a military household. However, little is known about whether there are positive consequences for children residing in families of the Canadian Armed Forces (CAF). Therefore, the goal of the current study was to examine the positive implications of growing up in CAF households. Methods: Focus groups were conducted with 8- to 13-year-old children ( N=85) from Regular Force CAF families (38 boys, 42 girls, 5 not indicated) across various locations in Canada. Children were asked if they had experienced any positive outcomes from being in a military family, what had been the best thing about having a parent deployed, and what had been the best thing about moving. Results: Children reported some positive aspects of the military lifestyle, such as the opportunity to travel and have new experiences (due to relocations within Canada and abroad) and to develop stronger bonds with their at-home parent during deployment. Discussion: The findings are discussed in terms of ways to foster positive experiences in relation to the military lifestyle.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".