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Record W1982386603 · doi:10.5430/wjel.v2n4p24

The Influence of Using Word forks on Developing Collocative Competence of Intermediate Iranian EFL Learners

2012· article· en· W1982386603 on OpenAlexvenueno aff
Gholam-Ali Kalanzadeh, Manoochehr Jafari Gohar, Morteza Bakhtiarvand

Bibliographic record

VenueWorld Journal of English Language · 2012
Typearticle
Languageen
FieldPsychology
TopicSecond Language Acquisition and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsComputer scienceCompetence (human resources)NounWord listMathematics educationNatural language processingPsychologyLinguisticsArtificial intelligenceClass (philosophy)

Abstract

fetched live from OpenAlex

One of the most problematic areas of learning English as a foreign or second language is learning phrasal verbs (PVs) in collocation with certain nouns. The present study was designed to test a procedure called the word fork technique to help intermediate EFL students to develop their collocative competence in using PVs. A group of 30 intermediate Iranian EFL students were randomly selected. They were given a pre – test and a post – test each in two phases. In order to check the efficacy of using the word fork technique in developing the participants' collocative competence in using PVs they were required to devote a time period of about 15 to 20 minutes of each class session practicing PVs, using the newly developed technique. This lasted for 20 session. Based on the data obtained, it can be concluded that the new technique can efficiently help the target population to improve their collocative competence in using PVs in specific and their communicative ability in English in general.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.284
Threshold uncertainty score0.850

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.316
Teacher spread0.298 · 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 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

Citations3
Published2012
Admission routes1
Has abstractyes

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