Four Dates, One Future
Bibliographic record
Abstract
For nearly 150 years the University of Toronto has integrated public health into its teaching and research. From early lectures in sanitation (1871) to the discovery of insulin (1921), the University of Toronto’s rich history is reflected in its prominence as a global leader in public health research and education. Therefore, it is fitting for the University of Toronto to host an academic journal of public health that showcases both high-impact scholarship and public health practice. Founded in 2020, the University of Toronto Journal of Public Health has an ambitious, yet essential, vision: to foster the next generation of public health researchers and practitioners in order to improve population health nationally and globally. In this editorial, we honour the diverse and complementary nature of the fields of biostatistics, epidemiology, health policy and practice, and social and behavioural health sciences by highlighting an important historical date from each. We reflect on these milestones within a historical and contemporary context, and conclude by considering the importance of each discipline for the future of public health in Canada and abroad.
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 | 0.008 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.019 | 0.024 |
| Scholarly communication | 0.026 | 0.023 |
| Open science | 0.003 | 0.012 |
| Research integrity | 0.006 | 0.016 |
| Insufficient payload (model declined to judge) | 0.044 | 0.012 |
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".