Banking on a Prize: Multicultural Capitalism and the Canadian Literary Prize Industry
Bibliographic record
Abstract
Critics such as Frank Davey and Barbara Godard note that the 1988 Canada-U.S. Free Trade Agreement introduced radical changes to the way the Canadian government supports domestic cultural production. One indicator is the primacy of the corporate-sponsored Giller Prize, part of a new cosmopolitan and free-trade-oriented cultural policy, over the government-funded Governor General’s Award, which is a creation and upholder of Trudeau-era multicultural policy. Free trade, accompanied by cuts to agencies such as the Canada Council and the CBC, has created only the illusion of separation between economic and cultural spheres. These cuts facilitated the corporatization of Canadian cultural policy, and resulted in a homogenizing of Canada’s literature. Proponents of awards like the Giller Prize often ignore what Smaro Kamboureli calls the “tight relationship” between economic and cultural control, and refuse to dig deep enough to ask who decides what is “good literature” and whose interests that literature serves.
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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.033 | 0.025 |
| Scholarly communication | 0.014 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 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 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".