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Record W2481173210 · doi:10.1075/clu.8.02ric

Language contact as an inhibitor of sound change

2013· book-chapter· en· W2481173210 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

VenueCulture and language use · 2013
Typebook-chapter
Languageen
FieldSocial Sciences
TopicDiscourse Analysis and Cultural Communication
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPhonologySound changeLinguisticsLanguage shiftBlocking (statistics)Variety (cybernetics)Language contactFocus (optics)HistorySound (geography)GeographyComputer sciencePhilosophyArtificial intelligenceAcousticsPhysics

Abstract

fetched live from OpenAlex

In the past 150 years, the Fort Good Hope variety of Dene (also called Slavey), an Athabaskan language of northern Canada’s Mackenzie River valley, has undergone several phonological shifts. I focus on the change of nasals to r . Not all nasals shift in the appropriate environment. At first, this failure to shift appears attributable to functional factors like frequency and uniformity of exponence. Another factor plays a major role: contact with a related language where the n ’s that shift to r in Fort Good Hope are distinct from those that do not. Historical records indicate contact occurred around the time of the shift. Both grammatical and social factors play an important role in blocking certain n ’s from shifting to r . Keywords: Dene; phonological shift; phonology; historical linguistics

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.840
Threshold uncertainty score0.999

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.049
GPT teacher head0.332
Teacher spread0.283 · 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