Canadian military transitioning to civilian life: a discussion paper
Bibliographic record
Abstract
Accessible summary Cultural competent nursing care is the best context within which to place veterans transitioning to civilian life. There is a need for nurses in all practice settings to recognize the unique nature of veterans as a cultural group transitioning to civilian life. Culturally specific nursing interventions and care plans should be tailored to meet the needs of veterans as a cultural group in regards to their practices and beliefs which in turn, will improve client outcomes. Future research is needed to assess the efficacy of current services in meeting returning veterans' and the families' needs; to adapt existing programs and services to current circumstances; to aid veterans and their families over the long term; to help veterans transition to the workforce effectively; to compare the transition experience at an international level; to develop a transition model that situates the veteran culture as the overriding framework for testing and to understand the experience of transitioning to civilian life within the context of the veteran culture. Abstract The purpose of this discussion paper is to explore the existing literature from Canada on transitioning from military to civilian life for veterans of recent deployments. A number of topics relating to the transition experience emerged: interpersonal readjustment, emotional including mental health needs, school needs, and social needs. Implications for nursing will be discussed in terms of veterans as a cultural group and culturally competent nursing care. Recommendations for future nursing research include how well current services are meeting the needs of the younger, more recent veterans transitioning to civilian life; conducting longitudinal studies on the impact of transitioning to civilian life for veterans and their families; comparing the transition experience at an international level; developing a transition model that situates the veteran culture as the overarching framework for testing and understanding the experience of transitioning to civilian life.
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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 | 0.007 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.009 |
| Science and technology studies | 0.048 | 0.006 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".