Bibliographic record
Abstract
Dans cet ouvrage au style trepidant, l’auteur nous invite a la traversee du Canada de la fin des annees cinquante. Ici, fiction et realite se melangent dans des aventures de petits boulots, de rencontres et de grands espaces, de Montreal a Vancouver, avec 29 cents dans sa poche. Il y a aussi la route, l’auto-stop, l’histoire de la ruee vers l’or, les trains de nuit et les filles d’un soir ou d’une vie. C’est aussi l’histoire d’une langue : « mon metier, c’est la langue francaise », dit le narrateur. Conteur insatiable, ses propos « vocalisent avec tous les accents possibles et imaginables », dans un show epoustouflant. Roland Bonvalet est ne en 1925 dans le Perche, en France. Au debut des annees cinquante, il repond a l’appel des grands espaces et s’embarque pour le Canada. Apres une errance picaresque, il devient tres vite correspondant pour Radio Canada a Vancouver tout en poursuivant des etudes a l’Universite de Colombie britannique. Il passe ensuite quelques annees en Californie ou il se lie d’amitie avec Raymond Federman, puis il revient enseigner a l’universite en Alberta a Edmonton, ou il decede en 1980
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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.027 | 0.005 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.037 | 0.005 |
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".