[Pdf/ePub] J'ai dû rêver trop fort by Michel Bussi download ebook
Bibliographic record
Abstract
J'ai dû rêver trop fort pan Michel Bussi Télécharger eBook gratuit ➡ Link Caractéristiques J'ai dû rêver trop fort Michel Bussi Format: Pdf, ePub, MOBI, FB2 ISBN: 9791036604133 Editeur: Lizzie Date de parution: 2019 Livres téléchargement gratuit en ligne J'ai dû rêver trop fort ePub CHM (Litterature Francaise) par Michel Bussi Overview Les plus belles histoires d'amour ne meurent jamais. Elles continuent de vivre dans nos souvenirs et les coïncidences cruelles que notre esprit invente. Mais quand, pour Nathy, ces coïncidences deviennent trop nombreuses, doit-elle croire qu'il n'y a pas de hasard, seulement des rendez-vous ? Qui s'évertue à lui faire revivre cette parenthèse passionnelle qui a failli balayer sa vie ? Quand passé et présent se répètent au point de défier toute explication rationnelle, Nathy doit-elle admettre qu'on peut remonter le temps ? En quatre escales, Montréal, San Diego, Barcelone et Jakarta, dans un jeu de miroirs entre 1999 et 2019, J'ai dû rêver trop fort déploie une partition virtuose, mêlant passion et suspense, au plus près des cours qui battent trop fort.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.842 | 0.789 |
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; the direct Gemma label and the distilled Codex classifier 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".