Sex Differences in Suicide Trends Among Adolescents Aged 10 to 14 Years in Canada
Bibliographic record
Abstract
Suicide rates appear to be rising rapidly among youth in North America.<sup>–</sup> Historically, adolescent males have had much higher rates than females; however, this gap may be narrowing due to rising suicides among female adolescents.<sup>,</sup><sup>,6</sup> Over the last 40 years, reported youth suicide rates in the United States have increased most disproportionately among females aged 10 to 14 years, mainly by hanging and suffocation,<sup></sup> but also by self-poisoning in the 10- to 12-year age group.<sup></sup> In Canada, reported rates among females aged 10 to 14 have also steadily increased while rates among males have remained stable or declined.<sup></sup> Although Canadian studies have presented suicide rates in young women across age brackets,<sup>S6</sup> no study has tested for sex differences in the 10 to 14 age group specifically.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.001 |
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; both teacher heads agree on what is shown here.
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".