Bibliographic record
Abstract
In this thesis, the emphasis is laid on the culture teaching in the English learning, and on the discussion of the relationship between culture and culture, which makes us realize that learning English is inseparable from learning it culture. Judging from this, the author proposes a classification of cultural items, some teaching approaches as well as some main principles of cultural teaching. Key words: Culture; Teaching; Approaches; Principles Resume: Dans cette these, l'accent est mis sur l'enseignement de la culture dans l'apprentissage de l'anglais, et sur la discussion de la relation entre les cultures, qui nous fait comprendre que l'apprentissage de l’anglaise est inseparable de l’apprentissage de la culture. A partir de cette decouverte, l'auteur propose une classification des objets clturels, des methodes de l'enseignement ainsi que quelques principes elementaires de l'enseignement culturel. Mots-cles: Culture; Enseignement; Approches; Principes
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 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 | 0.007 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.015 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".