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Analyzing and Understanding Interlanguage

2019· other· en· W3207577886 on OpenAlexaff
Andreea Cervatiuc

Bibliographic record

VenueThe TESOL Encyclopedia of English Language Teaching · 2019
Typeother
Languageen
FieldPsychology
TopicSecond Language Acquisition and Learning
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsInterlanguageLinguisticsSecond-language acquisitionPsychologyFossilizationSyntaxLanguage acquisitionSecond languageTransfer of trainingNegative transferFirst languageComputer scienceCognitive psychologyMathematics education

Abstract

fetched live from OpenAlex

Theinterlanguagetheory analyzes the temporary linguistic system that target language (TL) learners develop to express meanings in the TL. A major limitation of this theory is that it claims that only five percent of adult second language (L2) learners achieve full competence. Another limitation is that it compares bilingual speakers with monolingual ones. In spite of these limitations, understanding the cognitive processes of interlanguage:language transfer,transfer of training,strategies of L2 learning,communication strategies, andovergeneralization of L2 rules, as well as its characteristics:permeability,dynamic nature,systematicity,stability,mutual intelligibility,backsliding, andvariability, benefits L2 teachers and learners. Recent research challenges the monolingual bias in second language acquisition (SLA) and emphasizes that the interlanguage of most L2 learners is dynamic and not fossilized. There is no critical period for learning syntax, because some adult learners achieve full grammatical mastery of the TL if they receive appropriate grammatical instruction.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.006
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0010.004
Scholarly communication0.0060.009
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.013
GPT teacher head0.285
Teacher spread0.272 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2019
Admission routes1
Has abstractyes

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