Dimensions of Suicidality: Analyzing the Domains of the SIS-MAP Suicide Risk Assessment Instrument and the Development of a Brief Screener
Why this work is in the frame
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Bibliographic record
Abstract
This study aimed at validating the domains of suicidality assessed by the Scale for Impact of Suicidality-Management, Assessment and Planning of Care (SIS-MAP) and creating a brief screener based on the full scale. A total of 50 individuals with suicidal ideation were given the SIS-MAP interview. Support was found for these domains of suicide risk; in particular, the subscales of ideation and protective factors for suicide risk were highly reliable. For each domain of suicidality, items most predictive of total risk index scores were selected to create a brief screener aimed at expediting the assessment process. The screener was reliable, predicted overall suicide risk index scores, and approached significance in predicting subsequent suicide attempts.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 it