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Record W2036798482 · doi:10.1075/eww.28.2.03wal

“There’s bears back there”

2007· article· en· W2036798482 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueEnglish World-Wide A Journal of Varieties of English · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicLinguistic Variation and Morphology
Canadian institutionsYork University
Fundersnot available
KeywordsPluralVernacularVariable (mathematics)Variety (cybernetics)Multivariate statisticsLinguisticsDiversification (marketing strategy)Invariant (physics)Computer scienceNatural language processingHistoryMathematicsArtificial intelligenceStatisticsPhilosophy

Abstract

fetched live from OpenAlex

This paper uses a multivariate analysis of variable agreement in existentials with plural reference in a corpus of Quebec English to determine the status of variable agreement as a vernacular universal. Excluding the frequent invariant form there’s from analysis, both structural and processing considerations are shown to operate. A separate multivariate analysis provides support for the hypothesis that there’s is a lexicalized form with its own set of constraints. Cross-variety comparison reveals little evidence of regional diversification and suggests instead that differences observed between studies reflect the distribution of data in each corpus. Similarities of language-internal constraints across studies provide support for variable agreement as a vernacular universal.

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)0.006
metaresearch head score (Gemma)0.033
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.874
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.033
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.017
GPT teacher head0.281
Teacher spread0.264 · 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