"What if daily life in Canada is boring?": Contextualizing Greg Curnoe's regionalism
Bibliographic record
Abstract
In December 1988, I met Jamelie Hassan and Ron Benner in Cuba, where they were organizing an exhibition of London Regionalist artists and I was attending the Cuban Film Festival.That year Perostroika was at its height: the street lamps still worked, the buses ran.Havana was abuzz with a generation of artists whose work had matured with the revolution.engaging conceptual strategies that explored Cuba's daily life, both official and illicit.The Hotel Nacional.where I stayed in the centre of Havana.was hosting a troop of Soviet factory workers rewarded for their productivity with a week's vacation on America's only Communist island.The workers.who never left the hotel, began their day with early morning swims in the frigid pool and ended it with late night drinking bouts in the hotel bar.I was a little more adventurous.alternating film watching with long walks through old Havana and free-fall intellectual discussions with Cuban artists that lasted late into the tropical night.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.053 | 0.039 |
| Scholarly communication | 0.016 | 0.006 |
| Open science | 0.003 | 0.012 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 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".