Confused Robots and Incompetent Humans in Jean-Pierre Jeunet’s Bigbug (2022)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Jean-Pierre Jeunet has been working on the presentation of struggling human bodies, in his films such as Delicatessen (1991), La Cité des enfants perdus/The City of Lost Children (1995), and most recently, Bigbug (2022). In Bigbug’s fictional 2045, human beings are finally liberated from the duties of house chores. Nevertheless, they no longer have self-determination. Because of the A.I. system’s error, human characters in this film are confined in a house with house robots. This article studies the relationship between human bodies and artificial intelligence in Bigbug, through the lens of transhumanism and animality studies. By transhumanism, I mean an attempt to transform and adapt one’s body with or without technology. I argue that Jeunet’s sense of humour functions as an impetus to encourage his characters to continuously adapt and transform themselves in limited space. Moreover, the animality was discussed differently in this film: instead of comparing animals to humans, Yonyx, the A.I. androids identify humans with animals, mocking the animality of living beings. Referring to Steen Christiansen’s term "terminal films," this article examines how immobile, restricted human bodies co-exist with and resist artificial intelligence in our everyday household.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it