Do cancer screening behaviours differ between immigrant populations and Canadian-born citizens?
Bibliographic record
Abstract
Effective screening behaviours have been linked with early detection of disease, allowing for prompt treatment of disease. Poor access to health care resources has been documented among immigrant populations. A large, population-based examination of screening behaviours among Canadian immigrants is currently lacking.\nThis analysis seeks to examine how screening behaviours differ between immigrant populations and Canadian-born citizens. Screening behaviours to be investigated are: pap smear, mammography, prostate cancer screening, and colorectal cancer screening. Construction of a multivariable logistic regression model will allow relative rates of screening to be compared after adjusting for all potential confounders in order to elucidate the impact of immigration status on screening behaviours.\nThis analysis will make use of data from the Canadian Community Health Survey (CCHS), 2014. This survey collected information from a representative sample of households across Canada.\nInformation gained from this analysis will determine whether there is a need for targeted interventions to improve screening behaviours within immigrant populations.
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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 | 0.000 | 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 | 0.001 | 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".