Mood Disorders Society of Canada reports 56 per cent of Canadians have worried
Bibliographic record
Abstract
they suffer from depression GUELPH, ON: May 1, 2008 – A recent survey1 commissioned for the Mood Disorders Society of Canada indicates that two-thirds (67 per cent) of Canadians know someone who suffers from depression. Moreover, over half (56 per cent) say they have worried about suffering from this disabling disease, at some point in their life. The survey also revealed that Canadians recognize common emotional indicators of depression, but most remain unaware of some key physical symptoms. “These findings support the value of increased dialogue and public education on mental health. Our families, communities, employers and health professionals need to be better equipped on symptom recognition. Canadians must be encouraged to seek help instead of worrying silently if they suspect depression, ” explains Phil Upshall, Executive Director, Mood Disorders Society of Canada. “It’s important to help Canadians understand that recovery from mental illness is possible.” The survey, conducted by Angus Reid Strategies, found that depression is reported to personally impact many Canadians. When asked about how many individuals they know that have been diagnosed with depression by a health professional, 46 per cent have a family member; 52 per cent have a friend or colleague; while 28 per cent report that they themselves have been diagnosed at one time. The World Health Organization estimates that by 2020, depression will be the world’s second leading cause of disability, behind heart disease. Canadians need help identifying certain depression symptoms Top of mind, Canadians most commonly associate social withdrawal (40 per cent), sleep problems (37 per cent), loss of interest (18 per cent), fatigue (29 per cent) and sadness (26 per cent) with depression. In contrast, excessive crying, trouble concentrating, suicide, insomnia, or muscle aches pain are much less likely to be top of mind: Common symptoms of depression Percentage of Canadians with top-of-mind awareness
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.032 | 0.005 |
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".