Bibliographic record
Abstract
One of Canada's premier cinematic exports, Guy Maddin (b. 1956) is an award-winning filmmaker with a rising reputation. Known for his autobiographical tales---hidden deeply within comical, absurd, and surrealistic narratives---Maddin has earned international acclaim, including a lifetime achievement award at the Telluride Film Festival at the age of thirty-nine. Possessing a deep knowledge of silent cinema, modernist artists, and novelists, Maddin's seemingly amateurish visual style and unusual subjects (patriphagia in The Dead Father, incest in Careful) obscure the surprisingly literate sources for his films. These include novelists Knut Hamsun (Twilight of the Ice Nymphs) and Kazuo Ishiguro (The Saddest Music in the World), the Royal Winnipeg Ballet (Dracula: Pages from a Virgin's Diary), and the films of Erich von Stroheim (Archangel). Guy Maddin: Interviews collects pieces published between 1990 and 2009 and offers the reader a whirlwind tour of Maddin's offbeat career in his own words, as solicited by a range of journalists, scholars, and fellow filmmakers. Maddin is a charming, erudite, and candid conversationalist who is frank about his own perceived drawbacks, his good fortune, and the often high art culture that motivates his cinematic explorations.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.015 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.041 | 0.009 |
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".