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Record W7034554019

“Une veritable syntaxe”. Some Notes on Leroi-Gourhan and Structural Linguistics

2024· article· en· W7034554019 on OpenAlexfundno aff

Bibliographic record

VenueResearch Padua Archive (University of Padua) · 2024
Typearticle
Languageen
FieldMedicine
TopicMedical Education and Admissions
Canadian institutionsnot available
FundersUniversity of CambridgeUniversity of OxfordYork University
KeywordsFocus (optics)Structural approachStructural linguisticsPoint (geometry)PhonologyTheoretical linguistics
DOInot available

Abstract

fetched live from OpenAlex

In what follows, I will try to offer a brief overview of the relationships between some of Leroi-Gourhan’s anthropological insights on technology and some of the fundamental theoretical claims that form the general framework of structural linguistics. This hermeneutical movement runs an evident risk, which needs to be addressed and overcome: the risk of including Leroi-Gourhan’s works in the wide range of the structuralist \ncorpus. For this reason, in the introduction I clarify what I mean by “structuralism” so that, in the subsequent sections, I can try to show the epistemological relationship between Leroi-Gourhan’s ethnology and the “structuralist turn,” as described in the introduction. To this end, I will point out the possible theoretical influence exerted by structural linguistics, and especially by the structural phonology developed within the Prague linguistic circle, on Leroi-Gourhan’s conceptual toolbox. More specifically, in the paper, I will focus on some passages of La geste et la parole (1964), which I will consider in connection with two more \nminor and older texts, namely Origine et diffusion de la connaissance scientifique (1953) and L’homme et la nature, an article published in 1936 in the Encyclopédie française.

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)0.005
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 score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0030.024
Scholarly communication0.0050.008
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0050.001

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 head0.080
GPT teacher head0.384
Teacher spread0.304 · 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
Published2024
Admission routes1
Has abstractyes

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