Prevalence of migraine in the Canadian household population.
Bibliographic record
Abstract
Based on data from the 2010 and 2011 Canadian Community Health Surveys and the 2011 Survey of Living with Neurological Conditions in Canada, this article provides information about migraine among people living in private households. In 2010/2011, an estimated 8.3% of Canadians (2.7 million) reported that they had been diagnosed with migraine by a health professional. Females were more likely than males to report migraine: 11.8% versus 4.7%. Migraine prevalence was highest among people in their 30s and 40s: 17.0% for women and 6.5% for men. Compared with the national figure, the prevalence of migraine was lower in Quebec (6.8%) and higher in Manitoba (9.5%), Nova Scotia (9.1%) and Ontario (8.8%). Among people who reported a migraine diagnosis, 42% took prescription medication for their condition, and 56% incurred medication-related out-of-pocket expenses. Migraine was highly comorbid with depression and affected many aspects of daily life including education, work, sleep, and driving.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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 teacher head, 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".