Introduction to Canada Watch: Critical perspectives on mental health/mad studies
Bibliographic record
Abstract
is one of the university's 27 organized research units (ORUs), providing a home for research outside traditional academic units and moving research beyond departments and disciplines. At York, the Robarts Centre is the research engine for the collaborative and critical study of Canada. In its 2015 -2020 charter, the centre linked its strategic research priorities to the growth and development of its research clusters. A central focus of Robarts has been on expanding research capacity through the development of new and dynamic clus-ters. Robarts has indeed become a hub for research, with the research clusters akin to airlines operating out of a central terminal. The clusters reflect the diversity of Canadian studies in their scope, subject, and methodology, and they have become a significant source of growth for the centre in attracting grants, participation, and attention. As it has responded to researchers' requests to meet the centre's mandate, Robarts has become something of a research broker, connecting faculty, students, and the community under the rubric of research. Its focus
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 | 0.009 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.008 |
| Science and technology studies | 0.032 | 0.030 |
| Scholarly communication | 0.022 | 0.010 |
| Open science | 0.004 | 0.007 |
| Research integrity | 0.011 | 0.020 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".