Rural suicide in Newfoundland and Labrador: A qualitative exploration of health care providers’ perspectives
Bibliographic record
Abstract
INTRODUCTION: Residents of rural regions may have higher and unique suicide risks. Newfoundland and Labrador (NL) is a Canadian province replete with rural regions. Despite an abundance of rural suicide research, heterogeneity in rural regions may preclude amalgamating findings to inform prevention efforts. Thus, exploring the unique needs of NL is needed. Importantly, health care providers (HCP) may afford unique perspectives on the suicide-related needs or concerns of rural life. We asked HCPs of residents of rural NL their perceived suicide risk factors, concerns, and needs for rural NL. METHOD: Twelve HCPs of rural residents of NL completed virtual semi-structured interviews. Interviews were analysed using reflexive thematic analysis [13,14]. RESULTS: HCPs noted individual, psychological, social, and practical factors linked to rural-suicide risk and subsequent needs. Findings highlight the unique challenges of residing and providing health care in rural NL and inform prevention and intervention efforts.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.010 | 0.007 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".