Bibliographic record
Abstract
Le petit caillou de la memoire, c’est l’homme face a la nature demesuree. C’est William de la mer et des forets profondes, qui peche des saumons, abat des arbres, aime des femmes, cuit au soleil lent de sa vie. Une ode aux gens simples, aux defricheurs. Ecriture somptueuse et grâce tranquille, le roman nous entraine de Saint-Suliac sur Rance aux bords de mer gaspesiens, en passant par Terre-Neuve. «J’ai souhaite raconter un peu de cette race d’hommes et de femmes en bois dur en train de disparaitre, deja disparue sous les coups de boutoir des temps qui changent et qui bouleversent tout de nos etres et de nos us. Simplement dire qu’elle fut, avec ses grandeurs et ses miseres. Quelque chose de nous s’eteint avec elle. J’ai aussi voulu raconter, par la mediation d’un petit caillou, la transmission d’une generation a l’autre de la folle furieuse faim de vivre, du sens de la beaute du monde et de la nostalgie, le plus humain des sentiments».
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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".