Bibliographic record
Abstract
This paper explores four visual culture projects arising from artwork created in or about the Canadian North. Edmund Carpenter’s meditations on early-1950s Eastern Inuit art are compared to the constellated works featured in the “Magnetic Norths” exhibition curated by Charles Stankievech that took place in Montreal in 2010. These curatorial projects are analyzed in contrast to two media-based projects: a series of artist interviews and artwork presentations gathered in the 1998–2008 television and website production CBC ArtSpots, and the 2008 film Before Tomorrow, directed by Marie-Hélène Cousineau and Madeline Piujuq Ivalu. Narratives of the Canadian North engendered by these artworks are probed using the concept of creative citizenship, bringing them into dialogue with one another and with other presentations of the Canadian North.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.075 | 0.045 |
| Scholarly communication | 0.013 | 0.005 |
| Open science | 0.004 | 0.011 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 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".