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Record W2900789226

Le premier romantisme au Canada : Entre engagement littéraire et politique

2018· book· fr· W2900789226 on OpenAlexaboutno aff
Marie-Frédérique Desbiens

Bibliographic record

VenueGroupe Nota Bene eBooks · 2018
Typebook
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt
DOInot available

Abstract

fetched live from OpenAlex

Longtemps considere comme une version edulcoree et tardive du courant europeen, le romantisme canadien fait ici l’objet d’une reevaluation complete. C’est un regard neuf, nourri par les recentes avancees de l’histoire litteraire et culturelle, qui est porte sur ce mouvement traditionnellement reduit a sa seule dimension esthetique, mais dont les impacts bouleversent tout l’ordre sociopolitique de la premiere moitie du XIXe siecle. Etroitement associe a l’« eveil des nationalites » qui bat son plein dans les grandes nations anglaise, allemande, francaise, americaine, tout comme dans les nations peripheriques italienne, polonaise, irlandaise, le romantisme joue a cette epoque un role capital dans l’emergence des identites et des litterature nationales. Dans les oeuvres de ces premiers intellectuels engages, empruntant la double posture romantique d’hommes de lettres et d’hommes d’Etat, se decouvrent des thematiques et une rhetorique indeniablement modernes, que la critique a trop souvent negligees. Remettant egalement en question plusieurs idees recues sur les annees 1860, percues a tort comme le veritable point d’ancrage du mouvement et qui en ont forge une image conservatrice et passeiste, ce reexamen montre qu’un premier romantisme, liberal et pleinement ancre dans l’actualite, a bel et bien ete importe et adapte au Canada des les annees 1830-1840.

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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.138
Threshold uncertainty score1.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0270.017
Scholarly communication0.0130.003
Open science0.0020.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0180.001

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 head0.014
GPT teacher head0.217
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
Published2018
Admission routes1
Has abstractyes

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