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Record W63039106 · doi:10.1017/s0047404500332043

<scp>John Edwards</scp> (ed.), <i>Language in Canada</i>. Cambridge &amp; New York: Cambridge University Press, 1998. Pp. xvi, 504.

2000· article· en· W63039106 on OpenAlexaffabout
Monica Heller

Bibliographic record

VenueLanguage in Society · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicLinguistic Variation and Morphology
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsHistorySet (abstract data type)SociologyClassicsMedia studiesLinguisticsPhilosophyComputer science

Abstract

fetched live from OpenAlex

This volume is meant as a companion piece to three previous volumes published by Cambridge on language in various parts of the English-speaking world (the volume on the United States, edited by Charles Ferguson and Shirley Brice Heath, appeared in 1981, followed in 1984 by one on the British Isles edited by Peter Trudgill, and in 1991 by a volume on Australia edited by Suzanne Romaine). This collection contains 26 short articles, divided into three sets. The first set attempts to provide an overview of sociolinguistic issues in Canada from historical, demographic, and policy perspectives. The second set treats aboriginal languages and the two official languages, French and English; this set includes two articles on language teaching – restricted, however, to the teaching of international languages, mainly as first languages, and to the teaching of French as a second language through immersion methods. The third set offers language profiles of each of Canada's ten provinces, as well as of its two (now three) territories. The organization of the book is meant to provide different angles on sociolinguistic issues in Canada, but unfortunately the result too often is that material is either repeated or consistently left out.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.064
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.013
GPT teacher head0.246
Teacher spread0.232 · 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

Citations0
Published2000
Admission routes2
Has abstractyes

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