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Record W2961083496 · doi:10.22481/el.v17i2.5346

Uma análise da influência interlinguística global e local em aprendizes de Espanhol como L3, falantes de mandarim como L1 e inglês como L2 (An analysis of global and local crosslinguistic influence in L1 Mandarin-L2 English learners of L3 Spanish)

2019· article· pt· W2961083496 on OpenAlexfundno aff
Matthew Patience

Bibliographic record

VenueEstudos da língua(gem) · 2019
Typearticle
Languagept
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsHumanitiesPhysicsPhilosophy

Abstract

fetched live from OpenAlex

O presente estudo investigou a influência fonética interlinguística (CLI) em falantes de mandarim como L1, inglês como L2 e espanhol como L3. O objetivo foi determinar se a L1 ou a L2 era uma fonte mais forte de CLI em falantes trilíngues de três línguas tipologicamente distintas, e examinar até que ponto a proficiência de L2 e L3 desempenham um papel. Duas análises foram realizadas. Na análise geral, juízes hispânicos (N = 22) escutaram passagens lidas por falantes de mandarim como L1, de inglês como L2 e de espanhol como L3 (N = 17) com diferentes níveis de proficiência da L2 e da L3, e tentaram identificar o idioma nativo dos indivíduos. Na análise local, a produção da vibrante múltipla alveolar da L3 foi examinada, a fim de determinar se a L1 ou a L2 foi uma fonte mais frequente de transferência. As duas análises revelaram que tanto a L1 quanto a L2 foram possíveis fontes de transferência, embora a L1tenha sido uma fonte mais forte no geral. A proficiência oral de L2 e L3 não foi um fator significativo, revelando que outros fatores podem ser melhores preditores da fonte de transferência. Essas descobertas são discutidas em referência à sua compatibilidade com o Modelo de Primazia Tipológica e o Modelo do Status da L2 como fator. The present study investigated L3 phonetic crosslinguistic influence (CLI) in L1 Mandarin-L2 English-L3 Spanish speakers. The objective was to determine whether the L1 or the L2 was a stronger source of CLI in trilingual speakers of three typologically distinct languages, and to examine the extent to which L2 and L3 proficiency play a role. Two analyses were performed. In the global analysis, Spanish-speaking judges (N=22) listened to passages read by L1 Mandarin-L2 English-L3 Spanish speakers (N=17) with varying levels of L2 and L3 proficiency and attempted to identify the speakers’ native language. In the local analysis, the L3 production of the Spanish trill was examined, with the goal of determining whether the L1 or L2 was a more frequent source of transfer. The two analyses revealed that both the L1 and L2 were possible sources of transfer, although the L1 was a stronger source overall. L2 and L3 oral proficiency were not significant factors, revealing that other factors may be better predictors of the source of transfer. These findings are discussed in reference to their compatibility with the Typological Primacy Model and the L2 Status Factor Model.

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 score0.010
Threshold uncertainty score0.020

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 studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
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 head0.015
GPT teacher head0.344
Teacher spread0.329 · 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

Citations4
Published2019
Admission routes1
Has abstractyes

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