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Record W3132588911 · doi:10.1515/applirev-2020-0038

The role of immersion learning in the acquisition and processing of L2 gender agreement

2021· article· en· W3132588911 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.

Bibliographic record

VenueApplied Linguistics Review · 2021
Typearticle
Languageen
FieldPsychology
TopicSecond Language Acquisition and Learning
Canadian institutionsWilfrid Laurier UniversityUniversity of Toronto
Fundersnot available
KeywordsSecond-language acquisitionPsycholinguisticsPsychologyFirst languageLinguisticsLanguage acquisitionStudy abroadReading comprehensionTask (project management)Selection (genetic algorithm)Reading (process)Cognitive psychologyTask analysisCognitionComputer sciencePedagogyMathematics educationArtificial intelligence

Abstract

fetched live from OpenAlex

Abstract In this paper, we examine the effects of learning environment on second language (L2) gender agreement. English speakers learning L2 Spanish participated in a self-paced reading task and a picture selection task prior to and after a short-term study abroad experience. The results from the self-paced reading task showed that their reliance on the masculine article as the default (e.g., McCarthy, Corrine. 2008. Morphological variability in the comprehension of agreement: An argument for representation over computation. Second Language Research 24(4). 459–486) was reduced over time abroad. Findings from the picture selection task showed that the learners did not attend to the gender of articles unless it was their only cue, but that after the study abroad experience they began to use gender as an anticipatory cue for lexical selection. We interpret these results as support for an adapted version of the Shallow Structures Hypothesis (Clahsen, Harald & Claudia Felser. 2006a. Grammatical processing in language learners. Applied Psycholinguistics 27(1). 3–42; Clahsen, Harald & Claudia Felser. 2006b. How native-like is non-native language processing? Trends in Cognitive Sciences 10(12). 564–570) and the notion that in immersion contexts L2 learners shift their parsing strategy to be more communicatively focused (Schwieter, John W. & Gabrielle Klassen. 2016. Linguistic advances and learning strategies in a short-term study abroad experience. Study Abroad Research in Second Language Acquisition and International Education 1(2). 217–247).

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.980
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0010.000

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 head0.019
GPT teacher head0.320
Teacher spread0.301 · 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