« La grâce de montrer son âme dans le vêtement » Scrivere di tessuti, abiti, accessori. Studi in onore di Liana Nissim
Bibliographic record
Abstract
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 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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.017 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.017 | 0.006 |
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".