Shifting Language Paradigm: An Integration of Five Dimensions of Culture in Teaching English as a Foreign Language in Pakistan
Bibliographic record
Abstract
This study explores the inseparable entities of language and culture. Mastering the cultural element is crucial in the EFL/ESL language learning process. Furthermore, the study investigates the role of culture in the EFL/ESL curriculum since the 1980s. The paper examines the integration of culture into the ESL/ EFL classrooms in Pakistan. Most Pakistani EFL classrooms continue to simply focus on the grammar-translation approach, where students have to memorize significant and non-significant grammar points and then do dozens of exercises drilling the newly learned grammatical form(s). The foundation for teaching culture language learning include the 5 Cs, the Five Dimensions of Culture, language learning authentic materials, and the Cultural Experiential Learning Cycle. Through experiencing role-playing situations and distinguishing similarities and differences between cultures, students are culturally prepared with appropriate behaviors and responses when they encounter a similar situation in the target culture. The recommendations provided should enable Pakistani educators and administrators to effectively integrate culture into EFL curricula. This Paper explores the incorporation of culture in the context of Pakistani language learning environments. It also investigates strategies and techniques that make the language learning process productive, so that Pakistani educators can incorporate them within their classrooms.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".