An Investigation Report of the Status Quo and Training Demands of Rural Primary English Teachers in North Anhui Province
Bibliographic record
Abstract
Through questionnaires and statistical analysis, it is found that the status quo and training needs of rural primary English teachers in northern Anhui Province are as follows: (1) Teachers are young, female and hold concurrent posts in English teaching; (2) Most teachers have a strong desire to participate in the training, but fail to do so due to heavy workload of the course, or lack of the opportunity to go out to participate in higher level training; (3) Their ideal trainers are excellent front-line English teachers, and eager to get trained in education concepts, teaching skills and technology, and teaching modes. They are not interested in the study of education theory or academic research; (4) Many teachers lack confidence in their competence and urgently need training in their basic skills. In view of the above results, countermeasures are put forward as follows: to speed up the transformation of teachers’ growth, strengthening teachers’ basic skills of teaching, teaching while conducting scientific research, and combining field training and remote training together.
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 | 0.003 | 0.002 |
| 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 | 0.001 |
| Open science | 0.001 | 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".