Bibliographic record
Abstract
The twelve essays in the collection address cultural theory, aesthetics, and policy issues related to the economics of art in the context of globalization and the spreading influence of the practices and ideologies of market culture. With particular reference to Canada, they question whether these shifts and the rise of new media technologies are endangering or enriching public participation, democratic negotiation, and cultural diversity. The book includes essays by John Fekete on Innis and censorship, Thierry de Duve on global markets, Nicole Debreuil on the Voice of Fire controversy, and Mark Cheethum on Alex Colville and Andy Patton. It also includes specifically commissioned artworks by leading Canadian artists such as Vera Frenkel and Cheryl Sourkes. Authors: Bruce Barber (Nova Scotia College of Art and Design), Jody Berland (York), Mark A. Cheetham (Western), Thierry de Duve (Center for Advanced Study in the Visual Arts, Washington, DC), Michael Dorland (Carleton), Nicole Dubreuil (Montreal), John Fekete (Trent), Shelley Hornstein (York), Johanne Lamoureux (Montreal), Brenda Longfellow (York), Janine Marchessault (McGill), Paul Mattick, Jr (Adelphi),and Anne Whitelaw (Alberta). Artists: Karl Beveridge, Michael Buckland, Carole Conde, Vera Frenkel, Janice Gurney, John Marriott, Luke Murphy, Yvonne Singer, Cheryl Sourkes, John Veenema, and Ron Wakkary.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.062 | 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".