Bibliographic record
Abstract
The 1998/99 Statistics Canada National Population Health Survey reports that 7.9% of Canadians over age 12 have been diagnosed with migraine headaches. Females are more than 3 times as likely to experience them than males (11.7% compared with 3.8%); this gender difference persists across all age groups but is most pronounced among those aged 25–39. In this age group, 15.5% of women and 4% of men experience migraines. People of both sexes who suffered from migraines were much more likely than those who did not to report that they also had other chronic conditions such as food and other allergies, asthma, arthritis or rheumatism, and hypertension. Migraineurs also use the health care system more, with 32.9% of them having had 7 or more consultations with a health care professional in the past year, compared with 15.6% of those without the disorder. The incidence of migraine was almost 3 times higher among Canadians who reported experiencing a major depressive episode in the past year than among those who had not (20.4% vs. 7.3%).
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 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 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; 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".