Adult children in Canadian military families (1950–91): Balancing demands with capabilities
Bibliographic record
Abstract
Introduction: The demands of mobility, separation, and risk enhance the capabilities of some military children. It is unknown, however, whether capabilities developed during military childhoods are sustained through adulthood, nor are the adaptive responses understood. Retrospective accounts of the childhood experiences of an under-studied cohort, the adult children of Canadian Armed Forces (CAF) Veterans who served from the Korean War through to the Gulf War, gleaned through this exploratory study, offer insight into how these experiences shaped adult lives. Methods: Twenty-three adult children meeting the inclusion criteria were recruited through an opportunistic sampling strategy implemented through key informants and social media. Phenomenology guided semi-structured interviews. Interviews were taped and transcribed, and field notes maintained. Interview transcripts were imported into MAXQDA, a qualitative analysis software program, coded, and analyzed. Results were analyzed through application of the family adjustment and adaptation response (FAAR) model, highlighting family meanings, demands, and capabilities. Results: Adaptive responses to the demands of relocation, disruptions in schooling, authoritarian parenting, alcohol use disorder, and abuse in the families of origin were described by participants in this study. Meaning making was instrumental in adapting to the normative and non-normative demands of military life, enhancing empathy, social skills, and a commitment to public service in adulthood. The culture of community prominent in base housing of that era was identified as a significant resource, instilling a sense of identity and belonging that remains meaningful to the present day for participants. Discussion: Implications for contemporary military family support policies and programs were shared by participants.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.016 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".