Bibliographic record
Abstract
This paper presents the result of a survey based on the previous studies published in journals in China in recent ten years, and discusses the current situation – research interests, research methods and even problems - in CALL research. Finally, this paper lists some of the new tendencies in the study of CALL in order to attact more attention in the future study of CALL in China. Key words: Survey, CALL Research, recent dacade, future study Resume: Le present article presente le resultat d’une enquete basee sur les etudes precedentes publiees dans les journaux de Chine au cours de la derniere decennie, et discute la situation actuelle – interets de recherches, methode de recherches et meme problemes – des recherches de l’ALAO(Apprentissage des Langues Assiste par Ordinateur). Finalement, l’article cite des tendances nouvelles dans l’etude de l’ALAO afin d’attirer plus d’attention dans la future etude de l’ALAO en Chine. Mots-Cles: enquete, recherches de l’ALAO, derniere decennie, future etude
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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".