Diet Quality and Cancer Incidence in Nova Scotia, Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Cancer rates in the province of Nova Scotia, Canada, are among the highest in the country and coincide with elevated rates of risk factors such as smoking, poor diet, and obesity. To investigate the importance of diet on cancer, using data from the 1990 Nova Scotia Nutrition Survey, we developed a diet quality score reflecting compliance with 17 nutrient recommendations. The survey data were subsequently linked with the provincial cancer registry, and the relationship between diet quality and cancer was quantified using logistic regression. Our results support an inverse relationship between diet quality and cancer, although limited statistical power resulting from our small study sample did not reveal any statistically significant relationships. We estimated that cancer incidence could potentially be reduced by approximately 35% through improved diet quality. On the basis of poor diet, nutrition-related factors (high body mass index), our estimates of the preventable fraction of cancer, and the high provincial cancer rates, we recommend health promotion strategies aimed at improving diet quality in Nova Scotia.
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.
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 | 0.000 | 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 it