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Record W2155026714 · doi:10.1017/s0954394513000082

Transatlantic variation in English adverb placement

2013· article· en· W2155026714 on OpenAlexaffabout
Cathy Waters

Bibliographic record

VenueLanguage Variation and Change · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicLinguistic Variation and Morphology
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsVariation (astronomy)LinguisticsAdverbGenerative grammarSyntaxPresent perfectHistoryPhenomenonVernacularPhraseGrammarSociologyPhilosophy

Abstract

fetched live from OpenAlex

Abstract This study examines the placement of an adverb with respect to a modal or perfect auxiliary in English (e.g., It might potentially escape / It potentially might escape ). The data are drawn from two large, socially stratified corpora of vernacular English (Toronto, Canada, and York, England) and thus allow a cross-dialect perspective on linguistic and social correlates. Using quantitative sociolinguistic methods, I demonstrate similarity in the varieties, with the postauxiliary position generally strongly favored. Of particular importance is the structure of the auxiliary phrase; when a modal is followed by the perfect auxiliary (e.g., It might have escaped ), the rates of preauxiliary adverb placement are considerably higher. As the variation is chiefly correlated with linguistic, rather than social factors, I apply recent proposals from Generative syntax to further understand the grammar of the phenomenon. However, the evidence suggests that the variability seen here is a result of postsyntactic, rather than syntactic, processes.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.021
GPT teacher head0.276
Teacher spread0.255 · 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 designObservational
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

Citations25
Published2013
Admission routes2
Has abstractyes

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