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 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 | 0.001 |
| 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) | 0.001 | 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".