Bibliographic record
Abstract
The most comprehensive survey of Canadian contemporary art yet published: a new kind of travel guide with art as the main attraction. The fact that Canada has a vibrant contemporary art scene is no secret to Canadians, but in other parts of the world, including the United States, this is not as recognized as it deserves to be. This wide-ranging, comprehensive survey of contemporary Canadian art, showcasing the work of artists from all across the country, will change that. These artists include those who have risen to international prominence-Michael Snow, Garry Neill Kennedy, and Marcel Dzama, among others-as well as many artists who have yet to be discovered outside Canada. Oh, Canada (and the exhibition it accompanies at MASS MoCA) surveys nearly every province and territory, grouping artists by region, offering a new kind of travel guide with art as the main attraction. The result is not art that defines itself by national identity but rather some remarkable contemporary art that happens to be Canadian. Each section-from British Columbia and the Yukon to the Prairies and North, Ontario, Quebec, Atlantic Canada and the Ex-Pats-includes a text on the art of the region, interviews between artists, and examples of their work. Oh, Canada also includes a detailed exploration of today's Canadian art scene by the editor and whimsical shorter pieces in a variety of forms (travelogues, poems, even fiction) by other writers, among them Douglas Coupland and Jane Urquhart. An appendix offers two lists of Canadians you didn't know were Canadian-one compiled by an American and the other by a Canadian. Oh, Canada is an unprecedented, near-encyclopedic guide to Canadian contemporary art, and to Canada itself.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.008 | 0.028 |
| Science and technology studies | 0.021 | 0.004 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.024 | 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".