Background Papers to The National Suicide Prevention Conference: An Overview and Perspective
Bibliographic record
Abstract
The recognition of suicide as a serious public health problem and the advocacy of Americans who have experienced the loss of someone to suicide together have galvanized action to create a national strategy to prevent the loss of life and the suffering that suicide causes. The process began in 1993, when the World Health Organization (WHO) and the United Nations (UN) convened the first Interregional Expert Meeting on the Formulation of National Strategies for the Prevention of Suicide in Calgary and Banff, Alberta, Canada. Building on a document emanating from these deliberations, Prevention of Suicide: Guidelines for the Formation and Implementation of National Strategies ( UN, 1996 ), a public/private partnership has begun national strategy development for the United States. The articles in this special supplement represent one significant achievement of that collaborative effort and a foundation for ongoing work in developing a comprehensive National Suicide Prevention Strategy.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.008 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.009 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.011 | 0.006 |
| Open science | 0.004 | 0.005 |
| Research integrity | 0.010 | 0.008 |
| Insufficient payload (model declined to judge) | 0.044 | 0.011 |
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".