<i>Perec en Amérique: la traversée identitaire</i> . Par <scp>Jean-Jacques Thomas</scp> <i>Une vie dans les mots des autres: le geste intertextuel dans l’œuvre de Georges Perec</i> . Par <scp>Raoul Delemazure</scp> <i>Perec en Amérique: la traversée identitaire</i> . Par ThomasJean-Jacques. Bruxelles: Les Impressions nouvelles, 2019. 172 pp., ill. <i>Une vie dans les mots des autres: le geste intertextuel dans l’œuvre de Georges Perec</i> . Par DelemazureRaoul. (Études de littératures des XXe et XXIe siècles, 75.) Paris: Classiques Garnier, 2019. 465 pp.
Bibliographic record
Abstract
Jean-Jacques Thomas’s Perec en Amérique adds some interesting details to what is known about Georges Perec’s five trips to the United States and Canada. With his enviable team of research assistants, Thomas has combed publishers’ archives, manuscript collections, and other sources to find more traces of Perec’s passage than were previously imagined. However, his persistent sleuthing has led him up at least one wrong path. It may be a curious fact that the Frank Lloyd Wright house that Perec visited during his first trip to America in 1967 was commissioned by Katherine Winckler, but that is no reason to claim, as Thomas does (pp. 89–91), that the typescript of Le Condottière (whose hero is Gaspard Winckler) postdates the visit. The novel, published posthumously in 2012, reproduces a typescript clearly dated ‘1957–1960’ on its title page, reproduced in facsimile in my Georges Perec: A Life in Words ((London: Harvill, 1993), p....
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.064 | 0.017 |
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".