Bibliographic record
Abstract
Communicative Language Teaching (CLT), which is believed in many counties to be a successful method to train communicative competence, has been more widely talked about and practiced in college English teaching since its being first introduced in China in 1980s. However, during about 2 decades of practice, Communicative Language Teaching has met with some inevitable difficulties and barriers. Considering the current impossibility of removing those difficulties and barriers such as the unfavorable learning environment and inconsistent testing system within years, we suggest that an eclectic approach be brought into college English teaching as the present expedient. It is an integration of the revolutionary Communicative Language Teaching principles and traditional Grammar-Translation Method, in coordination with Computer-Assisted Language Learning. Key words: communicative competence, Communicative Language Teaching, Grammar-Translation Method, Computer-Assisted Language Learning, Eclecticism Resume: L’approche communicative dans l’enseignement des langues, qui est consideree comme une methode reussie d’exercer la competence communicative, a ete beaucoup discutee et pratiquee dans l’enseignement de l’anglais universitaire depuis son introduction en Chine dans les annees 1980. Cependant, durant les deux decades de pratique, l’approche communicative a connu des difficultes et barrieres inevitables. Etant donne l’impossibilite d’eliminer dans les prochaines annees ces difficultes et barrieres telles que l’environnement defavorable de l’apprentissage et le systeme de test inegal, nous proposons d’introduire l’approche eclectique comme expedient dans l’enseignement de l’anglais. C’est une integration de l’approche communicative et la methode traditionnelle de grammaire-traduction, qui a combine aussi l’apprentissage des langues avec l’assistance de l’ordinateur. Mots-Cles: competence communicative, approche communicative, methode de grammaire-traduction, apprentissage des langues avec l’assistance de l’ordinateur, eclectisme
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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 | 0.012 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.018 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".