Codes of the North: difficulty in the origins of the Canadian avant-garde film
Bibliographic record
Abstract
This dissertation chronicles the formation of a Canadian avant-garde cinema and its relation to the tradition of art of purposeful difficulty. It is informed by the writings of George Steiner, who advanced a typology of difficult forms in poetry. The major works of Jack Chambers (The Hart of London), Michael Snow (La Region Centrale), and Joyce Wieland (Reason Over Passion) illustrate the ways in which a poetic vanguard in cinema is anchored in an aesthetic of difficulty. Such aesthetics enclose the various forms of avant-garde cinema, from the lyrical to the structural film, and signal work of an enduring radicalism. SImultaneously, this dissertation charts the origins of these artists, the circumstances that formed their aesthetic themes, and their maturation. In doing so, it attends to their individual origins and sources, and consequently, the individuation of their artistic activity. This research fills gaps in the literature of Canadian cinema by explicitly linking the origins of a Canadian avant-garde cinema to the forms of purposeful difficulty in modernism. Additionally, it offers new commentary on the idea of difficulty in art, and specifically, the resonances of difficult modern art in vanguard cinema. This study champions progressive poetic form in avant-garde cinema, identifying aesthetic strategies that have analogues in other art forms such as music, painting and poetry.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.030 | 0.024 |
| Scholarly communication | 0.013 | 0.004 |
| Open science | 0.001 | 0.004 |
| 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".