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Record W2109468420 · doi:10.1017/s0954394510000050

Social work and linguistic systems: Marking possession in Canadian English

2010· article· en· W2109468420 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

VenueLanguage Variation and Change · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicLinguistic Variation and Morphology
Canadian institutionsUniversity of VictoriaUniversity of Toronto
Fundersnot available
KeywordsPossessivePossession (linguistics)HistoryLinguisticsVariation (astronomy)Linguistic changeNorth American EnglishSpace (punctuation)DanishSubject (documents)Value (mathematics)SociologyGenealogyStatisticsMathematics

Abstract

fetched live from OpenAlex

Abstract The system of stative possession has been subject to variation and change since at least the Early Modern period, with have got rising in frequency in British and Antipodean varieties of English. In Canadian English, as represented by data from the largest city, Toronto, have predominates. Nonetheless, the full set of constraints previously reported for this variable are operative, corroborating the longitudinal maintenance of linguistic factors across time and space (Kroch, 1989). At the same time, variation among possessive forms is conditioned by robust sociolinguistic patterns. Have is correlated with education and with female speakers, whereas less-educated men favor have got and got . Such findings demonstrate that the domination of one form or another in a variable system can be the result of historical accident, in this case a founder effect at a particular point in history, and that the social value of forms is a product of local circumstances at the time of change.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.861
Threshold uncertainty score0.420

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.023
GPT teacher head0.302
Teacher spread0.280 · 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