(Re)casting the Concierge in Muriel Barbery's<em> L' Élégance du Hérisson</em>
Bibliographic record
Abstract
«Être maire de Paris, c'est aimer les concierges et les stars, parce que les concierges sont les stars de notre quotidien!" (Greco). Before Anne Hidalgo aligned the commonplace French apartment caretaker with celebrated icons of the stage and screen during her 2014 Paris mayoral campaign, the Parisian concierge had never stood so high upon a pedestal. The closest the French concierge had come to such limelight was perhaps the fictionalized representation of the working-class figure in Muriel Barbery's 2006 novel, L' élégance du hérisson. The newspaper Libération described Barbery' s novel as France's "surprise bestseller of the year" (Lançon) with 346,000 copies sold in less than a year after its release. Further attesting to its popularity, the novel was promptly adapted for the big screen by Mona Achache as Le Hérisson in 2009. It has since experienced international acclaim with over 6,000,000 copies sold worldwide (Lichfield) and has established its academic cachet in the United States and Canada, turning up as required reading on various syllabi in a myriad of disciplines from (the obvious) French literature and culture courses to (somewhat more surprising) philosophy and English grammar courses.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".