Bibliographic record
Abstract
The use of video clips in college English teaching is of great significance and necessity and it has its own utilizing principle, yet not every college English teacher knows it, nor can they use them well. Combining the experience of my utilizing it and the students’ feedback., this paper studies its advantages and using principles. Key Words: the use of video clips, college English teaching, utilizing principle Resume: L’utilisation du videoclip dans l’enseignement de l’anglais a l’universite est d’une grande signification et necessite. D’ailleurs, elle a son propre principe d’utilisation. Mais tous les enseignants d’anglais ne le savent pas, ni l’emploient bien. En combinant ma propre experience et le feedbaclk des etudiants, l’auteur etudie les avantages de l’utilisation du videoclip et son principes d’emploi. Mots-Cles: utilisation du videoclip, enseignement de l’anglais
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 teacher head, 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".