Bibliographic record
Abstract
This chapter discusses the opening scenes of David Cronenberg's Shivers (1975). The exteriors and interiors of Starliner Tower, where the film is located, are played by Tourelle-Sur-Rive on Nuns' Island, a late work of the Bauhaus architect Ludwig Mies van der Rohe. The structure of the building provides a physical framework for Cronenberg's choices in the film. The mise-en-scène and production design works with the shapes of the rooms made available to the production by their residents, and their existing décor, which the production had little budget to re-dress. This unity of location makes Shivers the last of three major Cronenberg films to begin, or double, as explorations of a built environment. The chapter then considers the film's plural identity as a Quebecois production made with English-Canadian state financing. It also introduces the characters of the story. In Shivers , as in most of Cronenberg's horror films, the source of the danger is private medicine, ‘private’ in both the ‘commercial’ and ‘personal’ senses.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.447 | 0.199 |
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".