Charting the Progression of Diabetes Mellitus in New Brunswick: Rates, Correlates, and Implications for Accountability in Public Policy
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
Diabetes mellitus is one of the most common chronic conditions in New Brunswick, associated with a myriad of health and social consequences. The recent provincial government diabetes strategy focused largely on clinical indicators of diabetes prevention and management, without identification of a validated methodology for their measurement against performance targets or accountability for tangible improvements in the underlying social factors known to fuel type 2 diabetes. This study uses different data sources and methods to transparently measure recent trends in diabetes prevalence; disentangle the independent effects of multiple health, behavioural, and socioeconomic contributing factors to diabetes; and project future numbers. Population aging means the prevailing trend of rising diabetes prevalence is likely to continue in New Brunswick, but meaningful actions to address underlying social issues including poverty as a barrier to healthy living could help stem the tide.
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 | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 it