NATIONAL SURVEY REVEALS GAPS THAT MAY BE PREVENTING OPTIMAL CARE OF DEPRESSION
Bibliographic record
Abstract
~ Canadians living with depression significantly underestimate others ’ perceptions about illness ~ Toronto, ON (September 28, 2010) – A new national survey reveals a vast gap between how Canadians living with depression view their condition, compared to how it is viewed in reality by the general population, possibly preventing them from seeking the best treatment and care. Most Canadians with depression feel their illness is not perceived by the public as a medical condition or a serious illness (81 per cent) when in fact less than five per cent of the general population actually has that view. In fact, the majority of Canadians (72 per cent) recognize depression as both serious and treatable. “It was a pleasant surprise that the majority of Canadians not only recognize depression is a serious, but treatable illness, but their knowledge of the symptoms is on par with those diagnosed Canadians, ” said Phil Upshall, National Executive Director, Mood Disorders Society of Canada. “Our hope is that recognizing that Canadians have a more empathetic view of depression may encourage more individuals living with the illness to take prompt and proper action to help manage their depression.” Results from the survey show that overall, Canadians with depression are slow to seek professional help. While 90 per cent of those suffering from the illness sensed there was something wrong prior to being diagnosed, nearly half took more than six months to discuss the issue with their healthcare professional
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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 | 0.004 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".