Going Down the Road for the red violin : a certain tendency in recent Canadian cinema
Bibliographic record
Abstract
The contextualized case study of Don Shebib's Goin' Down the Road (1970) demonstrates what film characteristics came to be especially valued by the Canadian critical establishment in the early 1970s. It is precisely thanks to the presence of these characteristics that this feature has been singled out as a foundational film of the Canadian canon. Also, the author comments on a most significant shift in critical reception of the film from the 1970s to the 1990s, one that reflects the same shift in the understanding of the Canadian nation as a whole. The discussion of the film Le violon rouge (François Girard, 1998), on the other hand, provides opportunity for commentary about the state of Canadian cinema at the turn of the millennium as well as about the pitfalls that lie ahead for Canadian filmmakers in the globalized cultural marketplace. The article is concluded by a brief summary of significant achievements and problems in the realm of Canadian feature film.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.022 | 0.010 |
| Scholarly communication | 0.012 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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".