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Record W1975166365 · doi:10.7202/201142ar

Pour une lecture sociale de la correspondance de Saint-Denys Garneau

2006· article· fr· W1975166365 on OpenAlexvenueaboutno aff
Benoît Mélançon

Bibliographic record

VenueVoix et Images · 2006
Typearticle
Languagefr
FieldDecision Sciences
TopicImpact of AI and Big Data on Business and Society
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophyArt

Abstract

fetched live from OpenAlex

Résumé La correspondance publiée dans les Oeuvres de Saint-Denys Garneau (1971) et ses Lettres à ses amis (1967) peut-elle être lue dans une perspective sociale? Devant des lettres où ne semble primer que l'expression d'une sensibilité déchirée entre l'" exaltation " et l'" affaissement ", quels choix s'offrent au lecteur intéressé par leur inscription dans la polis ? Trois protocoles de lecture sont ici exposés. Le premier, le plus traditionnel, consiste à lire les textes épistolaires de Garneau en tant que réservoir d'analyses et de récits ayant le monde sociopolitique pour thème. Le deuxième repose sur une comparaison de la prose épistolaire garnélienne avec le sociogramme montréalais des années trente tel que l'a décrit Pierre Popovic. Le troisième, enfin, suppose que la lecture d'une correspondance rende possible une interrogation nouvelle du discours social québécois de la décennie de la Crise. Aucune de ces façons de faire n'est plus légitime que l'autre, ni exclusive des autres, mais chacune suppose une conception différente de cette forme spécifique d'écrit qu'est la lettre familière.

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)0.003
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 score0.244
Threshold uncertainty score0.486

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0140.011
Scholarly communication0.0050.002
Open science0.0010.003
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0110.001

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 head0.033
GPT teacher head0.364
Teacher spread0.331 · 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

Citations3
Published2006
Admission routes2
Has abstractyes

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