Bibliographic record
Abstract
The issue on "The Patient Experience in Ontario 2020: What is Possible?"taught us how Ontario is trying to shift to a consistent culture of patient engagement at all levels of their healthcare system, from clinical to organizational and political.We all know that our healthcare systems, built between 1940 and 1970, were structured around acute and highly specialized care provided by health facilities.Now, we see that needs have changed considerably over the last 30 years due to a significant increase in the prevalence of chronic diseases (Beaglehole et al. 2011), which is currently the leading cause of morbidity and mortality in Western countries ( Jeon et al. 2009).In particular, in Canada, 65% of the population aged 12 and above and 90% of Patient Engagement: The Quebec Path
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.
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 | 0.020 | 0.043 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.023 | 0.019 |
| Scholarly communication | 0.014 | 0.009 |
| Open science | 0.004 | 0.009 |
| Research integrity | 0.014 | 0.024 |
| Insufficient payload (model declined to judge) | 0.017 | 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".