Bibliographic record
Abstract
Vocabulary and grammar are used to be considered important to English learning, but nowadays people pay an increasing emphasis on the relationship between language and culture. Culture has a vital impact on English learning, and teachers should notice the cultural difference and transmit such knowledge through the teaching practice. Key Words: culture,language,learning Resume Le vocabulaire et la grammaire sont consideres d’habitude tres important pour l’apprentissage de l’anglais, mais aujourd’hui, les gens commencent a mettre l’accent sur la relation entre le langage et la culture. La culture a un impact vital sur l’apprentissage d’anglais et les enseignants doivent remarquer les differences culturelles et transmettent ces connaissances par l’enseignement dans la pratique. Mots-cles : apprentissage de culture et de langue 摘 要 人們一般認為掌握好辭彙和語法是英語學習的重之所重,但如今,人們卻越來越多地把注意力集中在文化與語言的關係上。文化在學習外語的過程中顯示出了重要性,教師們應當意識到這一點並將運用於自 己的教學實踐中。 關鍵詞：文化；語言；學習
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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 | 0.006 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.008 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".