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Record W4376458594 · doi:10.7202/1098862ar

Ordinary Language and Economic Language

2023· article· en· W4376458594 on OpenAlexvenueno aff
Susan Petrilli, Augusto Ponzio

Bibliographic record

VenueRecherches sémiotiques · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Linguistics and Language Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAlienationSociologyLinguisticsIdeologySign (mathematics)Linguistic turnSocial reproductionMeaning (existential)Social scienceEpistemologyPhilosophyPoliticsSocial capitalPolitical scienceLaw

Abstract

fetched live from OpenAlex

We explore the language of economics from the perspective of the relation between signs, language and ideology. The focus is on social reproduction in global communication. From the epistemological viewpoint linguistics and economics are interrelated, both are sign sciences and value sciences. Saussure’s general linguistics is modelled on economics, particularly marginalist “pure economics” from the Lausanne school. In the 1960s Rossi-Landi reconsiders the relationship between linguistics and economics, specifically political economy in the Smith-Ricardian and Marxian tradition. In this context linguistic value is not limited to the market, the synchronic axis, and confused with price. Critical of both Saussure’s Cours de linguistique générale and of Wittgenstein’s interpretation of “meaning” as “use”, Rossi-Landi (1966, 1968) – who can be reread today in light of globalized communication as proposed by A. Ponzio (2008) – investigates the production processes of linguistic value applying the theory of labour-value, thus speaker “linguistic work” accumulated in fixed capital (language) from one generation to the next. Thematization of the relationship between linguistics and economics contributes to understanding the concepts of “sign fetishism” and “sign materiality,” while the theory of “language as work and trade” and of “ideology as social planning” throw light on the question of “social alienation”, which in the language of the sign sciences is also “linguistic alienation” and more generally “sign alienation”.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.844
Threshold uncertainty score0.528

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.094
GPT teacher head0.328
Teacher spread0.234 · 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 teacher head, 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

Citations1
Published2023
Admission routes1
Has abstractyes

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