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Record W3045134508 · doi:10.4000/signata.2712

“Action-Metaphor”: The Performatic Sources of Human Meaning-Making

2020· article· fr· W3045134508 on OpenAlexaboutno aff
Fabrizio Deriu

Bibliographic record

VenueSignata · 2020
Typearticle
Languagefr
FieldPsychology
TopicLanguage, Metaphor, and Cognition
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophyMeaning (existential)MetaphorEpistemologyLinguistics

Abstract

fetched live from OpenAlex

Le présent dossier thématique mettant en évidence une relation potentielle entre la notion (théâtrale) de « performance » et la notion de « pratiques sémiotiques », plutôt que celle de « performance » dans le sens proprement sémiotique, l’un des objectifs de notre contribution est de fournir une réponse indirecte à la raison de ce choix. Après une courte présentation du changement de paradigme, des études théâtrales aux Performance Studies, au cours des dernières quatre/cinq décades, on cherche à décrire le vaste cadre théorique dans lequel ce changement s’est produit. On complexifie le couple conventionnel oralité-écriture à travers l’insertion de deux strates sémio-cognitives, correspondant aux notions de « performativité » et de ce qu’on appelle en anglais « electracy ». Dans la dernière partie de la contribution, on se concentrera sur l’œuvre de Merlin Donald, un chercheur canadien en sciences cognitives qui a développé la théorie des trois étapes pour l’évolution de la cognition humaine. Cette théorie suggère que ce que l’on pourrait appeler « action-métaphore » est la source « performatique » et non-linguistique des processus de création du sens humain.

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 score0.009
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0020.018
Scholarly communication0.0060.009
Open science0.0010.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.060
GPT teacher head0.328
Teacher spread0.268 · 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

Citations1
Published2020
Admission routes1
Has abstractyes

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