The nature and impacts of deployment-related encounters with children among Canadian military Veterans: a qualitative analysis
Bibliographic record
Abstract
Background: As armed conflict grows increasingly complex, the involvement of children in armed violence across diverse roles is rising. Consequently, military personnel are more likely to encounter children during deployment. However, little is known about deployment-related encounters with children and their impact on the mental health of military personnel and Veterans. Objective: This study qualitatively examines the nature and impacts of deployment-related encounters with children. Methods: We conducted semi-structured interviews with 16 Canadian Armed Forces Veterans, eliciting rich information on the nature of child encounters on deployment, the psycho-social-spiritual impacts of these encounters, and perceptions of support. Interview transcripts were analysed using thematic analysis. Results: Six primary themes were identified: types of encounters (i.e. factual aspects of deployment-related encounters with children), contextual factors (i.e. aspects of the mission, environment, and personal context relevant to one’s experience of the encounter), appraisals of encounters (i.e. sensory or sense-making experiences relevant to the encounter), impacts of encounters (i.e. psycho-social, existential, and occupational impacts), coping strategies engaged in both during and after deployment, and support experiences, describing both formal and informal sources of support. Conclusions: Encounters with children are diverse and highly stressful, resulting in impacts pertinent to mental health, including psychological and moral distress, and difficulties with identity, spirituality, and relationships. These impacts are prompted by complex interactions among appraisals, expectations of morality, cultural norms, and professional duties and are amplified by various personal factors (e.g. childhood maltreatment history, parenthood), feelings of unpreparedness, and lack of post-deployment support. Implications for prevention, intervention, and policy are discussed with the aim of informing future efforts to safeguard and support military personnel facing a high likelihood of encounters with children. Deployment-related encounters with children result in diverse impacts, including psychological and moral distress, along with disruptions in identity, spirituality, and interpersonal relationships.Encounters with children during military deployments are diverse and highly stressful, characterized by complex interactions among appraisals and expectations of morality, cultural norms, and professional duties.Emphasis on feeling unprepared for encounters with children highlights the need for future efforts to safeguard and support military personnel facing such situations. Deployment-related encounters with children result in diverse impacts, including psychological and moral distress, along with disruptions in identity, spirituality, and interpersonal relationships. Encounters with children during military deployments are diverse and highly stressful, characterized by complex interactions among appraisals and expectations of morality, cultural norms, and professional duties. Emphasis on feeling unprepared for encounters with children highlights the need for future efforts to safeguard and support military personnel facing such situations.
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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 | 0.006 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.018 | 0.009 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.005 |
| 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".