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Record W4296277687 · doi:10.1515/flin-2022-2031

Nonconvergence toward the standard: the maintenance of a distinctive use of rhotics among the Santomean diaspora in Portugal

2022· article· en· W4296277687 on OpenAlexaff
Marie-Ève Bouchard, Félix Desmeules‐Trudel

Bibliographic record

VenueFolia Linguistica · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicLinguistic Variation and Morphology
Canadian institutionsUniversity of TorontoUniversity of British Columbia
Fundersnot available
KeywordsPortugueseVariety (cybernetics)SalientDiasporaEthnographyLinguisticsFeature (linguistics)Identity (music)European PortugueseSociologyVariable (mathematics)GeographyHistoryAnthropologyGender studiesStatisticsArtMathematicsAestheticsPhilosophyArchaeology

Abstract

fetched live from OpenAlex

Abstract The variable use of rhotics is a salient linguistic feature in the variety of Portuguese spoken on São Tomé Island. In this study, we employ ethnographic and variationist sociolinguistic methods to report on the use of rhotics by 40 Santomeans living in Portugal. The objective is to determine whether Santomeans who are in closer proximity with European Portuguese, which is the variety perceived as standard and more prestigious in Portugal, tend to use rhotics in a more standard way or if they maintain the distinctive use of rhotics from their island. The results indicate that Santomeans do not converge toward a more European standard use of rhotics. We argue that the distinctive use of rhotics is available for identity-driven use to express a connection to São Tomé and Príncipe.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.039
GPT teacher head0.305
Teacher spread0.266 · 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 designObservational
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

Citations2
Published2022
Admission routes1
Has abstractyes

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