“L’enfer, c’est les autres”: Photographic Representations of Character Development in Sartre’s Huis clos
Bibliographic record
Abstract
Huis clos (No Exit), a play by Jean-Paul Sartre, is an unconventional representation of Hell, where three individuals torture one another in a Second Empire style lounge complete with a butler, a servant bell, and extravagant furniture. Estelle, Inès, and Garcin are eternally inseparable, and their non-violent manner of torture - namely, the manipulation of each other’s earthly insecurities - inspires the famous quote “L’enfer, c’est les autres” (“Hell is other people”). In our presentation, we will explore the possibility of transposing this famous play in a different artistic medium. As an alternative medium to theatre, photography uses instantaneous frames to capture the complex details of character relations and theme without deviating too far from the play’s original form. Our work consists of a series of three photographs that use symbolic objects and body language to illustrate each character’s unique version of Hell. When taken both individually and as a whole, these photos represent a cycle of mutual torture and mutual dependence, and highlight the ways in which the characters’ past lives influence the form that torture takes in the afterlife. Parts of this presentation will be in English, and components requiring textual analysis will be done in French.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".