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Record W4395460778 · doi:10.1515/9782763734484

Robert Nelson dit le Diable

2017· book· fr· W4395460778 on OpenAlexaboutno aff
François Labonté

Bibliographic record

Venuenot available
Typebook
Languagefr
FieldHealth Professions
TopicHealth, Medicine and Society
Canadian institutionsnot available
Fundersnot available
KeywordsArt

Abstract

fetched live from OpenAlex

En 1837, après la résistance des patriotes dans le Bas-Canada et la tentative de renversement du gouvernement britannique dans le Haut-Canada, la plupart des chefs ont trouvé refuge aux États-Unis d’Amérique. En 1838, le temps est venu de chasser les Britanniques hors de l’Amérique. Tandis que William Lyon Mackenzie, le rebelle, se concentre sur les vertus de la publication de son journal, William Bill Johnston, le pirate, n’hésite pas à faire alliance avec d’anciens généraux américains. Les chefs patriotes du Bas-Canada, privés des services de Wolfred Nelson, emprisonné à Montréal, sont partagés entre la position de Louis-Joseph Papineau, le politicien, et celle de Robert Nelson, le descendant de loyalistes, qui ne jure que par une force militaire appuyée par un mouvement massif de la population pour renverser le pouvoir britannique. Mais c’est sans compter la réaction de Londres qui dépêche lord Durham, un gouverneur investi de pouvoirs dictatoriaux pour ramener la paix au pays et trouver le remède aux maux qui gangrènent les colonies de l’Amérique du Nord britannique. Deuxième partie d'une trilogie qui a débuté par Alias Anthony St. John et qui se terminera avec L’Épouvantail, ce livre raconte la glorieuse épopée de la tentative de l’établissement d’une république au nord du 45e parallèle. Un violent face-à-face.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.133
Threshold uncertainty score0.445

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.002
Scholarly communication0.0050.003
Open science0.0010.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.1330.063

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.

Opus teacher head0.075
GPT teacher head0.416
Teacher spread0.342 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

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