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Record W7115681150 · doi:10.17118/11143/23714

Du Vocabulaire de Marc et Philippe au Dictionnaire Acajun de Marc à Paul à Jos : entreprises populaires de description du parler de la Baie Sainte-Marie

2025· article· fr· W7115681150 on OpenAlexvenueno aff

Bibliographic record

VenueCircula · 2025
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsIdentity (music)Variety (cybernetics)FrenchMetalanguage

Abstract

fetched live from OpenAlex

First published in 1988, Le Parler de la Baie Sainte-Marie: le vocabulaire de Marc et Philippe by Félix Thibodeau forms part of a collective, amateur, and deliberate effort to distinguish the va­riety of French spoken in southwestern Nova Scotia. Similar to other initiatives that linguists have described as instances of folk metalanguage (Preston 2004), Le Parler de la Baie Sainte-Marie and subsequent works contribute to the construction of this variety, setting it apart from other forms of Acadian French and codifying certain features as specific to the region (Johnstone 2006). Through what Asif Agha (2005: 38) terms a process of “enregisterment,” these features come to symbolize the Acadian identity and culture of Baie Sainte-Marie. To better understand how particular linguistic traits have come to be regarded as emblematic of the variety now known as acadjonne, this article analyzes four popular initiatives of linguistic description published in the region since 1976.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.179
Threshold uncertainty score0.361

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.004
Science and technology studies0.0060.003
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.010
GPT teacher head0.242
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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2025
Admission routes1
Has abstractyes

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