Bibliographic record
Abstract
In recent years, the Chinese college students have made great progress in English study, but their speaking ability is still in a lower class due to the anxiety. By carrying out a survey，the authors study the main factors related to the students’ anxiety to spoken English and put forward some countermeasures to help students to improve their spoken English level.Key Words: college students; spoken English; anxiety; factors. Resume: Ces dernieres annees, les etudiants chinois ont fait de grands progres dans l'etude de l'anglais, mais leur capacite de l'oral a toujours un niveau inferieure en raison de l'anxiete. En effectuant une etude, les auteurs etudient les principaux facteurs associes a l'anxiete des eleves a l'oral et presentent certaines contre-mesures pour aider les eleves a ameliorer leur niveau de l'anglais parle.Mots-cles: etudiants; anglais parle; anxiete; facteurs
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".