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Record W4255141153 · doi:10.1017/s0008413100003716

Sociolinguistics and the Language Faculty

2005· article· en· W4255141153 on OpenAlexaff
J. K. Chambers

Bibliographic record

VenueThe Canadian Journal of Linguistics / La revue canadienne de linguistique · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicLinguistic Variation and Morphology
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsLinguisticsStress (linguistics)Speech communitySociolinguisticsLinguistic competencePsychologySociolinguistics of sign languagesInterlanguageVernacularSociologyNatural language

Abstract

fetched live from OpenAlex

Abstract The discovery that some processes are primitive rather than learned provides a window into the properties of the language faculty. One of the postulated modules of the language faculty is sociolinguistic competence, the ability to use language appropriately in its socio-cultural nexus. I present three cases where variable phenomena exhibit regularities that appear to be essential rather than accidental. First is the Ethan Experience, which inures children engaged in acquiring the community accent from learning foreign features that must later be unlearned. The experience entails an innate accent-filter, and its influence has been observed in all situations in which the accent being acquired differs from the home accent. Second is Sex-Based Variability, whereby women use fewer non-standard variants and have wider stylistic repertoires than men of the same social class in the same settings. Third is Vernacular Roots, the discovery that a number of sociolinguistic variables recur in English vernaculars wherever they have been studied, as well as in interlanguage, Creoles, and child language. The ubiquity of these features presumably reflects their privileged status in the language faculty.

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)0.007
metaresearch head score (Gemma)0.146
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.961
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.146
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.018
GPT teacher head0.297
Teacher spread0.279 · 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.

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

Citations6
Published2005
Admission routes1
Has abstractyes

Explore more

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