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Record W4376458672 · doi:10.7202/1098861ar

Messages-marchandises et homologie entre linguistique et économie à partir de Rossi-Landi

2023· article· fr· W4376458672 on OpenAlexvenueno aff
Andrea D’Urso

Bibliographic record

VenueRecherches sémiotiques · 2023
Typearticle
Languagefr
FieldArts and Humanities
TopicLinguistics and Discourse Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Notre contribution portera sur la méthode très singulière de la sémiotique de Ferruccio Rossi-Landi proposant une homologie entre la production linguistique et la production matérielle, qui permet de montrer les aspects sémiotiques de l’économie au sens strict. Il s’agira, tout d’abord, de relever la spécificité et l’originalité de l’approche matérialiste-dialectique de Rossi-Landi; puis, de mettre en évidence sa considération des messages comme marchandises et des marchandises comme messages; ensuite, de souligner sa reconnaissance de l’intuition sémiotique de Marx lorsqu’il a fait l’analyse du caractère purement signique de la valeur d’échange dans Le Capital. Enfin, nous présenterons quelques prolongements et intersections possibles des théories rossi-landiennes vis-à-vis des analyses récentes de l’actuelle phase capitaliste et du rôle exorbitant des messages-marchandises dans notre époque de production-communication.

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)0.003
metaresearch head score (Gemma)0.007
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 score0.009
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0020.009
Scholarly communication0.0050.009
Open science0.0010.003
Research integrity0.0010.002
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 head0.199
GPT teacher head0.417
Teacher spread0.218 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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