cular disease among Aboriginal peo- ple in Canada: the Study of Health Assessment and Risk Evaluation in Aboriginal Peoples (SHARE-AP).
Bibliographic record
Abstract
vascular disease (CVD) among Cana-da’s Aboriginal people is increasing.1 The prevalence of either CVD or its risk factors, however, is not well known in this population. Question: What is the prevalence of CVD and CVD risk factors in a Can-adian Aboriginal population compared with the prevalence in a Canadian pop-ulation of European ancestry? Design: In this joint study of members of the Six Nations Reserve in Ontario and investigators at McMaster University, po-tential Aboriginal participants were ran-domly selected from a comprehensive list of band members. A letter was mailed, followed by a telephone call to identify people 35 to 75 years of age who had lived on the reserve for at least 5 years and did not have a history of cancer or of chronic liver or renal disease. Those iden-tified were asked to participate. The same criteria were used to select subjects of Eu-ropean ancestry who lived in Hamilton, Toronto or Edmonton. Subjects were asked about their smoking status, history of diabetes melli-tus, hypertension and hyperlipidemia, family history of CVD, income status and highest education level achieved. Self-reports of angina, previous myo-cardial infarction, coronary artery bypass grafting, angioplasty or stroke were ac-cepted as evidence of CVD. Blood pres-sure and waist–hip ratios were measured, and the body mass index (BMI) was cal-culated. Electrocardiography was used to detect silent myocardial infarction. Carotid artery atherosclerosis was as-sessed using B-mode ultrasonography to measure the maximum intimal-medial thickness (IMT) of the vessel. Results: In total, 301 of 379 eligible Abo-riginals and 326 of 405 eligible people of European ancestry agreed to participate. Nonrespondents were similar to respon-dents in both groups. The Aboriginal participants were older than those of Eu-ropean ancestry (mean age 53.1 v. 51.3 years; p = 0.04), and more participants of European ancestry had incomes greater than $60 000 (60 % v. 17%, p = 0.0001) and attended university (33 % v. 10%; p =
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".