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Record W4407615231 · doi:10.5539/elt.v18n3p22

Exploring the Production-Oriented Approach in English through Films: A Case Study at the College English Department, Soochow University

2025· article· en· W4407615231 on OpenAlexvenueno aff
Jing Wang

Bibliographic record

VenueEnglish Language Teaching · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicSubtitles and Audiovisual Media
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyCollege EnglishMathematics educationLinguisticsPhilosophy

Abstract

fetched live from OpenAlex

This study explores the application of the Production-Oriented Approach (POA) in the context of teaching English through films, aiming to enhance language acquisition and proficiency in the dynamic field of language education. The POA, which emphasizes active participation and practical application within the learning process, has received significant attention in recent years. By examining the implementation of the POA in an English through Films course at a university setting, this study investigates how the approach can effectively improve students’ language skills. The research delves into the nuances of utilizing films as a medium for language learning and assesses the impact on students’ language abilities, with a focus on their active engagement and practical application of the learned knowledge. The findings contribute to the growing body of literature on innovative language teaching methodologies and offer insights into the effectiveness of the POA in enhancing language acquisition through film-based learning.

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 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 score0.115
Threshold uncertainty score1.000

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 studies0.0020.000
Scholarly communication0.0000.001
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 head0.044
GPT teacher head0.254
Teacher spread0.209 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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