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<i>Langue</i>and<i>Parole</i>

2018· other· en· W3009093108 on OpenAlexaff
J. I. Bakker

Bibliographic record

VenueThe Blackwell Encyclopedia of Sociology · 2018
Typeother
Languageen
FieldArts and Humanities
TopicHistorical Linguistics and Language Studies
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsLinguisticsLinguistic competenceComputer scienceCompetence (human resources)PsychologyPhilosophy

Abstract

fetched live from OpenAlex

Abstract Ferdinand de Saussure distinguishes between a “language” ( langue ) in its structural form and the spoken word ( parole ). Linguistics studies patterns of communication using an auditory mode, but vocalized sounds in one language are structurally related to sounds in other languages, particularly languages of the same language family. Chomsky makes a similar distinction between “competence” and “performance.” When a native speaker speaks a language, he or she “performs” the parole but is not necessarily aware of the linguistic structure of that language as a generalized “competence” in the linguistics of that langue . It is possible to speak a langue in a grammatically correct manner without any knowledge of the discipline of linguistics in general, or even the application of linguistic rules to that specific language.

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)0.001
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: Other · Consensus signal: Other
Teacher disagreement score0.018
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.006
Scholarly communication0.0050.003
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0180.003

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 head0.013
GPT teacher head0.227
Teacher spread0.214 · 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
GenreOther

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
Published2018
Admission routes1
Has abstractyes

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