Bibliographic record
Abstract
OBJECTIVE: To determine whether, and to what extent, those who reported suicidal ideation and (or) attempts in the previous year, without meeting the criteria for major depressive episode (MDE), might still have experienced subthreshold depression. METHOD: Data from the Canadian Community Health Survey: Mental Health and Well-Being (CCHS 1.2) were examined to estimate and compare the prevalence of depressed mood, a core symptom of MDE and subthreshold depression, within the previous month for the following 4 population groups: MDE within the previous month [D(1 month)], MDE within the previous year but not the previous month [D(1 year)], suicidality without MDE within the previous year (D-S+), and no MDE or suicidality within the previous year (D-S-). RESULTS: As expected, the D(1 month) group showed the highest prevalence of depressed mood in the previous month. However, the D-S+ group had a significantly higher prevalence of depressed mood than the D-S- group and only a slightly lower level than that of the D(1 year) group. CONCLUSIONS: A fraction of those who reported suicidality in the previous year met the criteria for MDE during that time; however, subthreshold depression might be common in the suicidal population. Future epidemiologic research in the areas of suicidality and depression will benefit from a comprehensive assessment of subthreshold depression.
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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 | 0.000 | 0.001 |
| 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 | 0.000 | 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".