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Record W4395084690 · doi:10.1515/9782763734729

Vers la Confédération. Tome 1

2017· book· fr· W4395084690 on OpenAlexaboutno aff
Jacqueline D. Krikorian, David R. Cameron, Marcel Martel, Jacqueline D. McDougall, Robert C. Vipond

Bibliographic record

Venuenot available
Typebook
Languagefr
FieldArts and Humanities
TopicEuropean Political History Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsGeography

Abstract

fetched live from OpenAlex

La publication de recueils à l’occasion des anniversaires de la fédération canadienne est une tradition. En 1917, et de nouveau en 1967, des chercheurs ont publié des ouvrages sur la formation de la fédération canadienne et ses perspectives d’avenir. Ces recueils ont toutefois été publiés en anglais ou en français. À l’occasion du 150e anniversaire de la fédération canadienne, des chercheurs des Universités de Toronto et de York ont réuni les meilleurs articles et chapitres de livres portant sur la Confédération rédigés dans l’une ou l’autre des langues officielles. Vingt-neuf articles ont été traduits en anglais ou en français pour la première fois. De plus, ce recueil a élargi les horizons des débats portant sur 1867 en incluant des textes sur les autochtones. Alors que le pays chemine vers 2067, les Canadiens doivent comprendre et défier les discours traditionnels qui ont influencé la trame narrative du pays. Ce recueil interdisciplinaire en deux tomes, publié intégralement en français et en anglais, est un pas dans cette direction.

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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.046
Threshold uncertainty score0.155

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0060.010
Scholarly communication0.0080.006
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0460.011

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 head0.042
GPT teacher head0.244
Teacher spread0.202 · 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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Same topicEuropean Political History AnalysisFrench-language works237,207