The Importance of Culturally informed, Evidence-based Intervention: Laying the Groundwork for Comprehensive Suicide Prevention in Mexico
Bibliographic record
Abstract
Suicide is an urgent public health problem worldwide. Although suicide rates in the Americas are close to the global average (9.2 per 100,000 individuals), it is the only world region that has seen an increase in suicide rates in recent years (World Health Organization [WHO], 2025). For this reason, comprehensive, evidence-based strategies to prevent suicide are urgently needed in countries across the Americas. The WHO’s LIVE LIFE Implementation Guide for Suicide Prevention in Countries lists four key population-level, evidence-based strategies to lower suicide risk: “Limit access to the means of suicide; Interact with the media for responsible reporting of suicide; Foster socio-emotional life skills in adolescents; Early identify, assess, manage and follow up anyone who is affected by suicidal behaviours” (WHO, 2025). Broad implementation of just the first of these recommendations (means restriction) would prevent approximately 10,000 and 110,000 suicide deaths in males and females respectively over a decade (Lange et al., 2024).
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".