Bibliographic record
Abstract
PARALLELISM AND PROGNOSTICATION: FIGURE OF STYLE IN STRANGERS ON A TRAIN "I certainly admire people who do things!" Bruno Anthony to Guy HainesSTRANGERS on a Train is a parable about a wish fulfilment fantasy overtaking reality by means of metaphysical freedom, opposing energies, and deadly consequences. The film suggests that dangerous moral, ethical, and material forces are unleashed when conscious behaviour and subconscious wishes are in conflict. The narrative and stylistic organization of the film (based on the notion of inner-directed elements controlling the objective world) bears a general similarity to some of the precepts of Expressionism. The essential expressionist credo is that stylistic exaggerations and manipulations are commensurate with a protagonist's extraordinary anxiety and inner conflicts. For example, shortly after Miriam's (Laura Elliot) murder, there is a medium long-shot of Guy's (Farley Granger) cab pulling up to his apartment building with the bright...
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.009 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".