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Record W2889575541 · doi:10.5539/elt.v11n10p95

Approaching the Language of the Second Language Learner: Interlanguage and the Models Before

2018· article· en· W2889575541 on OpenAlexvenueno aff
Ayad Hameed Mahmood, Ibrahim Mohammed Ali Murad

Bibliographic record

VenueEnglish Language Teaching · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsInterlanguageLinguisticsPsychologyTerminologyFocus (optics)PragmaticsForeign languageSecond-language acquisitionConfusionLanguage educationMathematics education

Abstract

fetched live from OpenAlex

The present paper attempts to provide a critical evaluation of the most prominent pedagogical models that have dealt with the language of the second language (L2) learner starting from the second half of the 20th century. The three most influential approaches in the domain are investigated in this study: contrastive analysis (CA), error analysis (EA), and interlanguage (IL). Each of these models is tackled in terms of its beginning, psychological background, essential tenets, mechanism, and its pedagogical value. Prominently, this work is aimed at teasing apart the confusion that surrounds the fields of acquiring second/foreign language. It also endeavors to clear out the overlapping of both terminology and concept that cloud these areas. Focus is placed on IL owing to the dominant share of attention it has received from researchers and applied linguists who have found many of their questions answered and many information-gaps filled in with this theory. This review paper is an extract of an in-progress PhD dissertation on interlanguage pragmatics of Kurdish university EFL learners, which is an applied study addressing both the pragmalinguistic and sociopragmatic knowledge of the students.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.119
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.012
GPT teacher head0.227
Teacher spread0.215 · 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.

Study designQualitative
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

Citations16
Published2018
Admission routes1
Has abstractyes

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