Getting a Life: Cinematic Representations and Critical Refractions of the Chevalier de Saint-George
Bibliographic record
Abstract
In this commentary, I briefly consider, for context, a number of short films focused on the Chevalier Saint-George and films in which the figure of the Chevalier has appeared, before focusing on the 2023 feature-length biopic, Chevalier, directed by Steven Williams. These reflections are focused on the continuities between period piece films, biographical films and adaptations. A term borrowed from French poetics, "ineffacement," helps us to consider the film artist's double duties to their own artistic license and personal engagements, on the one hand, and on their various epistemological and ethical obligations to the historical source material on the other. Chevalier does not succeed as a film in part because it fails to present viewers with the dilemmas of such balancing or to show much evidence of having even considered them. The film does show the renewal of interest in the figure of the Chevalier and promises more attempts to do justice to this inspiring historical character.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.018 | 0.020 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".