Bibliographic record
Abstract
This article examines a number of images (photographs, film extracts, paintings) which stage particular relationships between Canada and the United States. A recurrent feature of Canadian images is the co-presence within them of elements which are recognizably from both Canada and the United States. Analyzing several images marked by this co-presence, the article explores the various ways in which the proximity of Canadian and non-Canadian elements may be seen to express broader cultural or social-political relationships between two national entities. Cet article examine plusieurs images (photographies, extraits de films, tableaux) qui présentent des relations bien définies entre le Canada et les États-Unis. Une particularité récurrente dans les images canadiennes est la coprésence à l'intérieur d'elles d'éléments provenant manifestement des États-Unis ainsi que du Canada. En analysant plusieurs images marquées de cette coprésence, l'article explore les manières variées dont la proximité d'éléments canadiens et non-canadiens peut exprimer des relations plus vastes sur le plan culturel ou socio-politique entre deux nations.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 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".