Bibliographic record
Abstract
Oublions les westerns. Durant trois siecles, l’Amerique du Nord a ete sillonnee, a l’echelle continentale, par des aventuriers de langue francaise. Coureurs de bois, trappeurs, interpretes, ces hommes, en quete de fourrures, se sont constamment meles aux Amerindiens. En partant sur la piste de dix voyageurs, natifs de la France ou du Canada, Gilles Havard fait surgir des scenes saisissantes : adoption d’un jeune Francais par des Iroquois du XVIIe siecle, pirogues chargees de peaux de castor ou de bison descendant la riviere Missouri, fetes du nouvel an empruntant aux ceremonies indiennes, retrouvailles lors des grandes haltes de caravanes? A travers ces destins hors du commun se dessine une autre histoire de la colonisation europeenne, occultee par le recit americain de la conquete de l’Ouest : une histoire d’echanges, de metissages, mais aussi de violences, dont les tetes d’affiche sont des Francais et des Amerindiens. Cet ouvrage explore une Amerique oubliee, fantome ? effacee des memoires, absente des livres d’histoire. S’appuyant sur des recits de voyage, les archives des deux continents et les temoignages de descendants, enrichi de cartes et d’images inedites, il donne vie a un monde jusqu’ici invisible.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.006 | 0.008 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.023 | 0.002 |
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".