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Record W4210956769 · doi:10.1075/impact.40

The Written Questionnaire in Social Dialectology

2015· book· en· W4210956769 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueImpact · 2015
Typebook
Languageen
FieldSocial Sciences
TopicLinguistic Variation and Morphology
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsDialectologySociolinguisticsVariation (astronomy)LinguisticsDisciplineMinor (academic)Field (mathematics)SociologyEmpirical researchHistorySocial scienceEpistemologyHumanitiesArtMathematicsPhilosophy

Abstract

fetched live from OpenAlex

Methods of linguistic data collection are among the most central aspects in empirical linguistics. While written questionnaires have only played a minor role in the field of social dialectology, the study of regional and social variation, the last decade has seen a methodological revival. This book is the first monograph-length account on written questionnaires in more than 60 years. It reconnects – for the newcomer and the more seasoned empirical linguist alike – the older questionnaire tradition, last given serious treatment in the 1950s, with the more recent instantiations, reincarnations and new developments in an up-to-date, near-comprehensive account. A disciplinary history of the method sets the scene for a discussion of essential theoretical aspects in dialectology and sociolinguistics. The book is rounded off by a step-by-step practical guide – from study idea to data analysis and statistics – that includes hands-on sections on Excel and the statistical suite R for the novice. This book has a companion website: http://dx.doi.org/10.1075/impact.40.website

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.

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)0.001
metaresearch head score (Gemma)0.002
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.254
Threshold uncertainty score0.895

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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 head0.041
GPT teacher head0.389
Teacher spread0.348 · 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