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Record W3119063494 · doi:10.5206/mf.v6i1.13409

Le passage à l’Institut Canadien de Montréal de Madame Manoël de Grandfort, écrivaine, journaliste, voyageuse et oratrice

2020· article· fr· W3119063494 on OpenAlexaffvenueabout
Umut Incesu

Bibliographic record

VenueMouvances Francophones · 2020
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsWestern University
Fundersnot available
KeywordsArtHumanities

Abstract

fetched live from OpenAlex

Dans Gens de parole (1990), l’historien Yvan Lamonde attire notre attention sur la présence de Mme Manoël de Grandfort comme étant la seule femme à prendre la parole pendant les conférences publiques de l’Institut Canadien de Montréal (44). Cette association francophone, qui a marqué l’histoire culturelle et littéraire canadienne-française au XIXe siècle, a, selon Lamonde, organisé, 128 conférences publiques et accueilli 63 conférenciers entre 1845 et 1871 (17). Madame de Grandfort, quant à elle, y était la seule voix féminine et la seule personne « à monter trois fois à la tribune de l’Institut » (44). À une époque où l’on n’est pas encore tout à fait prêt à donner la parole aux femmes dans une sphère publique au Canada, les multiples conférences de cette écrivaine française méritent une étude approfondie. En nous appuyant sur les articles des journaux de 1854, nous chercherons à comprendre la contribution de Grandfort dans la vie littéraire et culturelle de l’Institut Canadien de Montréal et à l’histoire du féminisme au Québec au XIXe siècle.

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)0.004
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 score0.076
Threshold uncertainty score0.313

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0200.006
Scholarly communication0.0060.002
Open science0.0010.003
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0360.002

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 head0.009
GPT teacher head0.210
Teacher spread0.201 · 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
Published2020
Admission routes3
Has abstractyes

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