Bibliographic record
Abstract
Almost 4000 Canadians die by suicide each year, and many more-perhaps 100 times as many-deliberately harm themselves (1). In 1998-1999, 22 887 hospital discharges for suicide attempts or intentional self-inflicted injury were recorded (1). More than 90% of suicide victims are known to have one or more psychiatric disorders at the time of their death, so psychiatric disorders may be considered a necessary, although not sufficient, cause of suicide (2). Despite more than 100 years of study since the time of Durkheim's seminal research, suicide continues to be a terrible tragedy that must disturb all psychiatrists. Nevertheless, today, rays of light are ending the darkness of suicide. The stigma of mental illness and suicide has been diminished by the champions among us who have stepped forward and shared their stories. Two outstanding individuals have touched me personally, and although there are several more, I must mention them specifically. More than a decade ago, Ms Doris Sommer Rotenberg courageously broke the silence enveloping death by suicide and established the Arthur Sommer Rotenberg Chair, the first academic chair in North America dedicated to suicide research. Recently, I had the great pleasure of meeting the Honourable James K Bartleman, Lieutenant Governor of Ontario. I related to him that one of my patients suffering from chronic depression and suicidality was moved to tears and felt less alienated when he read His Honour's personal story of depression in Moods magazine (3). The impact of sharing these stories cannot be measured. Other major advances must be recognized. Research is now being undertaken that targets those individuals at high risk for suicide; they must no longer be prevented from participating in clinical research. Meltzer and colleagues' groundbreaking study of clozapine for individuals with schizophrenia at high risk for suicide has established the value of such research (4). Systematic clinical trials now underway may have direct implications for clinical practice and for establishing evidence-based approaches. For example, I am involved in an effectiveness trial of dialectical behaviour therapy (5) compared with a therapy based on the American Psychiatric Association guidelines for the management of borderline personality disorder (6). This trial may provide insights into the clinical effectiveness and cost-effectiveness of systematic treatments such as dialectical behaviour therapy. Finally we, as a nation, stand poised to advance suicide prevention in each and every community. In October 2004, the Canadian Association for Suicide Prevention first publicly released the Blueprint for a Canadian National Suicide Prevention Strategy (1). Canada is one of the few developed nations without a national mental health action plan and without a national strategy for the prevention of suicide. The Blueprint provides a starting point for formulating the goals and objectives needed for a national suicide-prevention strategy. Our national strategy must promote awareness that suicide is a preventable problem and must reduce stigma toward suicide, mental illness, and substance abuse disorders. We have to foster prevention and intervention strategies, particularly strategies by Inuit, First Nations, and Metis. The Blueprint advocates reducing access to lethal means of suicide; increasing training in the recognition of risk factors, warning signs, and at-risk behaviours; promoting effective clinical practices; and improving access to, and continuity of, care. Among other objectives, we must improve and expand surveillance systems, particularly for tracking nonfatal suicidal behaviour and for promoting suicide-related research. …
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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 | 0.008 | 0.037 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.027 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.001 | 0.012 |
| Research integrity | 0.004 | 0.015 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".