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Record W3202041241

Deletion of Word-Final Final [u] in São Miguel Portuguese (Maia): A Variationist Perspective

2006· article· en· W3202041241 on OpenAlexaff
Elizabeth Bulhões, Walcir Cardoso

Bibliographic record

VenuePapers from the Annual Meetings of the Atlantic Provinces Linguistic Association (PAMAPLA) · 2006
Typearticle
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsConcordia University
Fundersnot available
KeywordsPronunciationLinguisticsPrestigePsychologyMarkednessPortuguesePerspective (graphical)Brazilian PortugueseVariety (cybernetics)Affect (linguistics)Subject (documents)CommunicationComputer scienceArtificial intelligence
DOInot available

Abstract

fetched live from OpenAlex

This paper examines the linguistic and extralinguistic factors that affect the deletion of word-final [u] (gat/u/=> [gat] ‘cat') in Azorean Portuguese, a prestige marker (Silva 2005) characteristic of the European variety of Portuguese (EP). In this study, native speakers of Azorean Portuguese (AP) completed a picture naming task, a picture description as well as an interview in the presence of both an AP and an EP speaker. The participants were audio-recorded, and relevant data were transcribed, coded and subject to Goldvarb X analysis. Results of the study indicate that extralinguistic factors such as the presence of either an EP or AP speaker affected the process of [u] deletion: participants were more likely to preserve the segment when they completed the tasks in the presence of an EP speaker, confirming that its pronunciation is viewed as a prestige marker by the participants. These results are consistent with Speech Accommodation Theory, which posits that people unconsciously adapt their speech so that it conforms more to the speech of their interlocutors (Coupland and Giles 1988). In addition, the participants were more likely to preserve word-fmal [u] when engaged in more formal tasks (e.g., in picture naming). Finally, it was predicted that the linguistic environment would play a role in the extent to which the final [u] was deleted. Based on the concept of markedness on coda constituents (i.e., voiced codas are more marked than their voiceless counterparts; Prance and Smolensky 1993) and on a study by Silva (1998), it was hypothesized that [u]-delction would be favoured in preceding voiceless environments because the resulting segment (i.e., a voiceless consonant) would constitute the ideal coda. The results of the investigation, however, revealed that deletion was more frequent when [u] was preceded by voiced consonants, contradicting both markedness on coda sonority and Silva’s findings.

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 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)0.002
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation 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 score0.109
Threshold uncertainty score0.888

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.006
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 science0.0010.000
Research integrity0.0000.001
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 head0.015
GPT teacher head0.278
Teacher spread0.263 · 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 teacher head, 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

Citations0
Published2006
Admission routes1
Has abstractyes

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