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Record W4205321551 · doi:10.1111/josl.12544

Participation in (non)salient linguistic change over the lifespan: An examination of panel speakers’ life stories

2022· article· en· W4205321551 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

VenueJournal of Sociolinguistics · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicLinguistic Variation and Morphology
Canadian institutionsUniversity of TorontoYork University
Fundersnot available
KeywordsLinguisticsSalientVariation (astronomy)SociologyLinguistic changeGrading (engineering)HistoryPsychology

Abstract

fetched live from OpenAlex

Abstract This paper addresses linguistic change over the lifespan by examining two cases of variation in the speech of the minority Francophone community of Welland, Ontario: (i) consequence markers so, fait que, alors , and donc (“therefore”) and (ii) markers of restriction juste , seulement que , ( r ) ien que , and ( ne …) que (“only”). Using two sociolinguistic corpora collected 40 years apart, this paper first examines the impact of social factors on both cases at the community level, revealing that so and juste are rising at the expense of their competitors, and documenting differences in the speed of each rise and in the social marking of the rising variant. Second, it examines whether 12 speakers recorded in both corpora are participating in each rise, revealing important interindividual differences, including, for some, patterns of age‐grading that go against the community trends. Explanations for these patterns are linked to the 12 speakers’ sociolinguistic life stories.

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)0.004
metaresearch head score (Gemma)0.019
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.787
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.019
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 head0.114
GPT teacher head0.379
Teacher spread0.265 · 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