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Record W1802776790 · doi:10.5539/elt.v8n9p157

The Empirical Assessment of English for Specific Business Purpose (ESBP) among Export Development Bank of Iran (EDBI) Staff

2015· article· en· W1802776790 on OpenAlexvenueno aff
Ahmad Moazzen, Akram Hashemi

Bibliographic record

VenueEnglish Language Teaching · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsnot available
Fundersnot available
KeywordsBusiness EnglishTest (biology)PsychologyReliability (semiconductor)Language proficiencyLanguage assessmentMathematics educationEmpirical researchInternational businessAffect (linguistics)Medical educationManagementMedicine

Abstract

fetched live from OpenAlex

The present study has been conducted with the purpose of exploring the relationship between EDBI staff's General English proficiency and their technical English Writing as well as the way each ESBP and GE courses affect their writing skill. The kind of the study is quasi-experimental with pre-test and post-test, being conducted among EDBI staff in Tehran Branches and Headquarters. In data collection two standard tests were used, namely Preliminary English Test (PET) for homogenous subjects, and also the level of their GE progress at the end of the treatment, and Business English Certificates (BEC) test Level B1, to measure their technical writing skill with appropriate validity and reliability. The findings indicate that: 1) there was a correlation between subjects’ general English proficiency and their business writing proficiency; 2) teaching writing of banking texts significantly improved EDBI staff’s General English; 3) teaching writing of banking could significantly improve EDBI staff’s Business English proficiency; 4) teaching writing of banking could significantly improve EDBI staff’s Business English proficiency more than GE proficiency.

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)0.003
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 score0.370
Threshold uncertainty score0.852

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.080
GPT teacher head0.302
Teacher spread0.223 · 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

Citations2
Published2015
Admission routes1
Has abstractyes

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