Bibliographic record
Abstract
The Canadian Rangers are not a widely studied population despite their exposure to potentially traumatic experiences associated with their active duty and past traumas.This study addresses the gap in the literature regarding the resilience and wellness of the Canadian Rangers.Specifically, the relationship between trauma exposure and mental health outcomes with moderating roles of protective factors (personal meaning, coping factors, social support) that may promote resilience and positive psychological outcomes.Furthermore, the role of cultural connectedness and sense of identity on mental health outcomes following trauma was examined among Indigenous Rangers.Participants (N=253) from Canadian Ranger Patrol Groups across Canada completed surveys that measured exposure to trauma, levels of social support, personal meaning, coping factors and outcomes of resilience, PTSD and depressive symptoms, in addition to cultural connectedness and identity among Indigenous Rangers (N=90).Bivariate correlations and moderation analyses indicated that greater endorsement of problem-focused coping, stronger social support and positive personal meaning were related to enhanced resilience and lower levels of trauma and depressive symptoms among the Canadian Rangers.Moderation effect of protective factors on the relationship between trauma exposure and mental health outcomes was identified.Furthermore, a three-way interaction was found between Indigenous status on trauma exposure, protective factors and mental health.None of the interaction effects were significant for cultural connectedness and sense of identity on trauma and mental health outcomes among Indigenous Rangers.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".