A survey of suicide literacy in Japanese school teachers
Bibliographic record
Abstract
School teachers are in a unique position to recognize suicide-related problems in their students and to appropriately support them; teachers may need high levels of suicide literacy. However, few studies have examined current levels of suicide literacy in teachers. This study aimed to investigate suicide literacy in school teachers. Teachers (n = 857) from 48 Japanese schools (primary and junior-/senior-high) answered a self-administered questionnaire assessing (a) knowledge about suicide, (b) intention to ask about students' suicidal thoughts/plans, and (c) attitudes towards talking to students with mental health problems. The average proportion of correct answers to the knowledge questions (10 items) was 55.2%. Over half of the teachers knew that suicide is a leading cause of death in adolescents (55.0%), and that asking about suicidality is needed (56.2%). Half of the teachers intended to ask students about their suicidal thoughts (50.2%) and fewer intended to ask about experiences of planning suicide (38.8%). Most of the teachers (90.4%) agreed with the idea that talking to students with mental health problems was a teacher's responsibility. Intention to ask about students' suicidal thoughts/plans were higher in teachers in their 20s (vs. 40s-60s) and working at junior-/senior-high schools (vs. primary schools). Suicide literacy in Japanese school teachers was observed to be limited. However, teachers felt responsibility for helping students with mental health problems. The development and implementation of education programs may help improve teachers' suicide literacy, which, in turn, could encourage effective helping behaviors of teachers for students struggling with suicidality.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".