Guide to Studying the Visual Arts in Canada
Bibliographic record
Abstract
Guide to Studying the Visual Arts in Canada is an open source, free e-publication published by the Gail and Stephen A. Jarislowsky Institute for Canadian Art, Concordia University. The objectives of the guide are: to facilitate study and teaching; to encourage pedagogical innovation and research; to improve learning through the sharing of resources and exchange of information; to increase the availability, accessibility, and use of print and online resources; to provide resources beyond the reach of individual universities, libraries, archives, museums, and resource centres; and to stimulate the improvement of online resources and the production of new resources. \n \nThe Guide to Studying the Visual Arts in Canada is a snapshot of the field at this moment. It consists of sources available in 2022. We recognize that resources are constantly being produced that collect, organize, and preserve digital information. This means that links to some sources may disappear as new resources are made available. We also realize that over time the profiles of people and descriptions of places will change. We will attempt to update Guide to Studying the Visual Arts in Canada every few years.
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 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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".