Bibliographic record
Abstract
INTRODUCTION: Vancouver Coastal Health Authority's Healthy Living Program implemented this pilot study to test and validate the Canadian Diabetes Risk Assessment Questionnaire (CANRISK) developed by the Public Health Agency of Canada as a screening tool for undiagnosed type 2 diabetes mellitus (DM) and prediabetes. Key objectives were to test the feasibility and acceptability of screening urban ethnic groups using the CANRISK, increase awareness of risk factors for DM and preDM and develop resources for lifestyle change. METHODS: The study recruited participants through community groups and churches, intraorganizational emails, primary care clinics and word of mouth. They completed the CANRISK and an oral glucose tolerance test (OGTT) either individually or as part of a group. Groups received a brief diabetes prevention information session. Documents to support lifestyle change were distributed to all participants. RESULTS: Participants (n = 556) were recruited among East Asian, Caucasian, South Asian and Latin American ethnic groups. Of these, 17% had OGTT results in the preDM range and 3% in the DM range. Over 90% of participants reported that the CANRISK wording was clear and that they had received useful information about lowering their diabetes risk. CONCLUSION: The benefit of using an OGTT was in identifying 11% of the sample of participants who had impaired glucose tolerance (IGT) and did not show abnormal fasting plasma glucose (FPG) results. All participants with abnormal laboratory results were provided with follow-up educational interventions in their own language.
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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 | 0.010 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".