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Record W2087215357 · doi:10.7202/1024446ar

L’Académie de Montréal (1778) : fiction littéraire ou projet utopique ?

2014· article· fr· W2087215357 on OpenAlexaffvenueabout
Nova Doyon

Bibliographic record

VenueMens Revue d histoire intellectuelle et culturelle · 2014
Typearticle
Languagefr
FieldSocial Sciences
TopicHistorical and Literary Studies
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

L’Académie de Montréal (1778) est la première société intellectuelle fondée par des hommes de lettres au Canada. Son activité se manifeste uniquement dans le premier journal unilingue français du pays, la Gazette Littéraire de Montréal (1778-1779), fondé par l’imprimeur Fleury Mesplet. Son principal collaborateur, l’avocat Valentin Jautard, publie des critiques littéraires entre autres sous le pseudonyme du Spectateur tranquille. À la fin du XVIIIe siècle, il n’y a pas véritablement de champ littéraire au Québec et pourtant, l’imprimeur et le journaliste, membres de l’Académie, agissent comme s’il en existait un. Cet article cherche à démontrer que le lien étroit qui unit le journal et l’académie sous-tend en fait une stratégie — qu’elle participe du registre de la fiction ou qu’elle relève simplement du projet utopique — de la part des animateurs du journal : la présence de l’Académie de Montréal dans la Gazette Littéraire aurait servi à légitimer le discours véhiculé par cette dernière.

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)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.104
Threshold uncertainty score0.436

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0170.016
Scholarly communication0.0110.003
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0220.002

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.

Opus teacher head0.019
GPT teacher head0.243
Teacher spread0.225 · 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 designTheoretical or conceptual
Domainnot available
GenreEmpirical

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
Published2014
Admission routes3
Has abstractyes

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