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Record W4366691852 · doi:10.4324/9781003127499-22

François-Xavier Garneau (1809–1866)

2023· book-chapter· en· W4366691852 on OpenAlexaboutno aff
Micheline Cambron

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldNeuroscience
TopicNeurology and Historical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPhilosophyArt

Abstract

fetched live from OpenAlex

The publication of The History of Canada From Its Discovery to the Present Day (1845–1848) makes François-Xavier Garneau “the national historian” of French Canada, even if his work is hardly read today. Self-taught, Garneau first took part in the movement which promoted education for all, then, after the Rebellions (1837–1839), which shook the British colony, set about writing a history of Canada “written entirely from the point of view of Canadiens .” Opposing French colonial histories, British narratives such as that of Lord Durham, and ultramontane clerical history, he was quickly attacked—the more so as various publications diffused its text: the Manual which is drawn from it distorts the interpretive framework; a malicious English translation distorts the facts; and, the additions, in subsequent editions, erase the work&s;s architecture and argumentation. If it is true that the Histoire by Garneau is the first large-scope work on Canadian history, it is written from the point of view of the losers: the Canadiens who passed under a British yoke in 1761 and submitted to the Act of Union of 1841. The work&s;s concealment is also due to contempt for a “local” intellectual—self-taught—who places the exercise of judgement at the heart of the historiographical process. The Garneau case invites contemporary readers to reflect on the functioning of the historical narrative and on its reading, as well as on the very notion of historical judgement, the one Garneau claims for himself: “the independence of my opinion judging men and things.”

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)0.002
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 score0.704
Threshold uncertainty score0.595

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.005
Scholarly communication0.0040.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0230.004

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 head0.088
GPT teacher head0.255
Teacher spread0.166 · 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
Published2023
Admission routes1
Has abstractyes

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Same topicNeurology and Historical StudiesFrench-language works237,207