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Record W2326403964 · doi:10.1017/s095439451200018x

Myths and facts about loanword development

2012· article· en· W2326403964 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 · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsUniversity of Ottawa
FundersEconomic and Social Research Council
KeywordsLoanwordLinguisticsCode-switchingGrammarCode (set theory)Computer scienceLanguage transferHistoryComprehension approachProgramming languageNatural languagePhilosophy

Abstract

fetched live from OpenAlex

Abstract This study traces the diachronic trajectory and synchronic behavior of English-origin items in Quebec French over a real-time period of 61 years. We test three standard assumptions about such foreign incorporations: (1) they increase in frequency; (2) they originate as code-switches and are gradually integrated into recipient-language grammar; and (3) the processes underlying code-switching and borrowing are the same. Results do not support the assumptions. Few other-language items persist, let alone increase. Linguistic integration is abrupt, not gradual. Speakers consistently distinguish lone other-language items from multiword fragments on each of five linguistic diagnostics tested. They borrow the former, and code-switch the latter. Code-switches are not converted into borrowings; instead the decision to code-switch or borrow is made at the moment the other-language item is accessed. We explore the implications of these findings for understanding the processes by which other-language incorporations achieve the status of native items and their consequences for theories of code-switching and borrowing.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.880
Threshold uncertainty score0.657

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.095
GPT teacher head0.425
Teacher spread0.330 · 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