<i>Éditer et relire la correspondance de Zola</i> . Sous la direction de <scp>Sophie Guermès</scp> <i>Éditer et relire la correspondance de Zola</i> . Sous la direction de GuermèsSophie. (Interférences.) Rennes: Presses universitaires de Rennes, 2018. 231 pp., ill.
Bibliographic record
Abstract
This volume of fourteen varied and insightful essays, topped and tailed by incisive pieces from the much-respected Zola scholar, Sophie Guermès, is based on a colloquium she hosted in December 2014 at her home university of Brest. As such, it responds to a range of paper publications in the field. In 2010 an eleventh volume was added to the standard Montreal–Paris correspondence project (a ‘correspondence générale’, in the words of Alain Pagès, of 4,700 letters, which continue to emerge). The ‘correspondence intime’ of around 530 letters to the mother of Zola’s two children, Jeanne Rozerot, and to Zola’s wife, Alexandrine, has been ably stewarded by Pagès alongside Brigitte Émile-Zola toward publication in two volumes (Lettres à Jeanne Rozerot (1892–1902) (Paris: Gallimard, 2004) and Lettres à Alexandrine (1876–1901) (Paris: Gallimard, 2014)), in keeping with the promise made in 1963 by Zola’s great-granddaughter to his son, Jacques, as he lay on...
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.084 | 0.078 |
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".