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Record W2001231476 · doi:10.7202/1001962ar

Articulation et rythme : matière, pensée et création dans le discours

2011· article· fr· W2001231476 on OpenAlexaffvenue
Lucie Bourassa

Bibliographic record

VenueIntermédialités Histoire et théorie des arts des lettres et des techniques · 2011
Typearticle
Languagefr
FieldSocial Sciences
TopicHistorical and Literary Studies
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPhilosophyArticulation (sociology)Political sciencePolitics

Abstract

fetched live from OpenAlex

Cet article propose un rapprochement et une confrontation entre la notion de rythme d’Henri Meschonnic et celle d’articulation (Artikulation ; Gliederung) de Wilhelm von Humboldt. Ces notions présentent plusieurs parentés, bien qu’elles s’inscrivent dans des contextes épistémologiques différents et qu’elles ne soient nullement réductibles l’une à l’autre. On les compare ici en particulier sur le plan de l’enracinement du langage dans le corps et du rôle central joué par le signifiant dans la pensée. Ce rapprochement se veut un parcours heuristique pour repenser le rythme dans le discours. On essaie d’abord de donner une sorte de profondeur à la notion de Meschonnic, c’est-à-dire d’en éclairer certains aspects sous un autre jour : avec la notion d’articulation, on devrait mieux comprendre, en particulier, comment le rythme permet de dépasser la représentation instrumentale du langage. On reformule ensuite la définition du rythme à la lumière du concept d’articulation, lequel se révèle utile en particulier pour en considérer la dimension sensible, perceptible, que la théorie de Meschonnic laisse de côté.

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: Empirical · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0060.022
Scholarly communication0.0080.007
Open science0.0010.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0070.001

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 head0.047
GPT teacher head0.306
Teacher spread0.259 · 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
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

Citations2
Published2011
Admission routes2
Has abstractyes

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