La Grâce de Montrer son Âme Dans le Vêtement: Tomo 1 : (Volume 1.0)
Bibliographic record
Abstract
From the Twentieth Century to Contemporary Contemporary French, Liana Nissim dedicated her intense research activity to the 19th century, in particular to Gustave Flaubert and Stéphane Mallarmé. His studies also focused on the French-speaking literature of Black Africa and Québec, which he helped introduce in Italy and spread on an international scale. This triptych of volumes "La grâce de montrer son âme dans le vêtement". Writing about fabrics, clothes and accessories illustrates and deepens in many directions a theme dear to her and widely present in her works. Through the wealth of methodologies and critical perspectives, the scientific community that has shared with her the passion for research and dedication to university life wants to make them a grateful homage.
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 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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.005 | 0.014 |
| Open science | 0.006 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.004 |
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".