Bibliographic record
Abstract
The great American film critic Manny Farber memorably declared space to be the most dramatic stylistic entity in the visual arts. He posited three primary types of space in fiction cinema: the field of the screen, the psychological space of the actor, and the area of experience and geography that the film covers. This book brings together five French directors who have established themselves as among the most exciting and significant working today: Bruno Dumont, Robert Guediguian, Laurent Cantet, Abdellatif Kechiche, and Claire Denis. It proposes that people think about cinematographic space in its many different forms simultaneously (screenspace, landscape, narrative space, soundscape, spectatorial space). Through a series of close and original readings of selected films, it posits a new 'space of the cinematic subject'. Dumont's attraction to real settings and locality suggests a commitment to realism. New forms and surfaces of spectatorship provoke new sensations and engender new kinds of perception, as well as new ways of understanding and feeling space. The book interrogates Guediguian's obsessive portrayal of one particular city, Marseilles. Entering into the spaces of work and non-work in Cantet's films, it asks what constitutes space and place within the contemporary field of social relations. The book also engages with cultural space as the site of social integration and metissage in the work of Kechiche, his dialogues with diasporic communities and highly contested urban locales. Denis's film work contains continually shifting points of passage between inside and outside, objective and subjective, in the restless flux.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.009 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.439 | 0.331 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".