Bibliographic record
Abstract
Quinze ans apres avoir chasse la France de l'Amerique du Nord, les Britanniques doivent faire face a la revolte de leurs Treize Colonies. Bien des Anglais acceptent mal de se battre contre leurs freres, les Americains. De toute facon, l'Angleterre manque de soldats. Le roi d'Angleterre se tourne alors vers l'Empire germanique: environ 30 000 soldats seront recrutes et amenes en Amerique. Que sait-on de ces mercenaires, les grands oublies de l'histoire de la revolution americaine? Plusieurs d'entre eux ont pourtant fait souche en Amerique, et plus particulierement au Quebec. Des Caux, Bessette, Besre, Hamel, Jacobi, Jomphe, Payeur, Roussel, Tresler, Wagner, Wilhelmy comptent parmi leurs descendants. Intrigue par son nom de famille, Jean-Pierre Wilhelmy a voulu en savoir davantage sur ses origines. De patientes et longues recherche l'ont conduit aux quelque 1200 soldats allemands qui se seraient meles a la population quebecoise a partir des annees 1780. Jean-Pierre Wilhelmy, ecrivain et historien, est egalement le coauteur de romans historiques dont La guerre des autres, De pere en fille, Le secret de Jeanne, Charlotte et la memoire du coeur et Sarah, a l'ombre des hommes. Il a aussi ete recipiendaire du prix du Secretariat d'Etat du gouvernement du Canada pour son apport a la communaute allemande au pays. Sortie prevue en librairie le 22 septembre 2009.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.032 | 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".