Improving Guidelines of Practice for the Prevention and Response of Suicidality in Post-Secondary Institutions
Bibliographic record
Abstract
ABSTRACT: Suicide on post-secondary campuses is a pressing concern, with many students in Canada demanding that post-secondary institutions improve their policies and procedures for supporting students with suicidality. The past decade has shown an increase in research and literature on students with mental health illnesses including depression and anxiety, while research specifically on the prevention of and response to suicide at post-secondary institutions is lacking. This article expands upon current literature on suicidality in post-secondary institutions and provides recommendations including further areas of research, addressing risk factors, promoting educational awareness, and increasing help-seeking behaviour to future researchers and post-secondary professionals seeking to improve guidelines for practice in supporting students experiencing suicidality.
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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 | 0.064 | 0.188 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.005 | 0.002 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.007 | 0.007 |
| Research integrity | 0.010 | 0.011 |
| Insufficient payload (model declined to judge) | 0.008 | 0.006 |
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".