LA GRÂCE DE MONTRER SON ÂME DANS LE VÊTEMENT: Tomo I
Bibliographic record
Abstract
(TOMO I)- Dal Quattrocento al Settecento Eminente francesista, Liana Nissim ha dedicato la sua intensa attività di ricerca al XIX secolo, in particolare a Gustave Flaubert e Stéphane Mallarmé. I suoi studi si sono concentrati anche sulle letterature francofone dell’Africa Nera e del Québec, che ha contribuito a introdurre in Italia e a diffondere su scala internazionale. Questo trittico di volumi «La grâce de montrer son âme dans le vêtement». Scrivere di tessuti, abiti e accessori illustra e approfondisce in molteplici direzioni una tematica a lei cara e ampiamente presente nei suoi lavori. Tramite la ricchezza delle metodologie e delle prospettive critiche, la comunità scientifica che ha condiviso con lei la passione per la ricerca e la dedizione alla vita universitaria vuole renderle un omaggio riconoscente.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.015 |
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; both teacher heads 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".