https://www.clausiuspress.com/assets/default/article/2023/11/15/article_1700056764.pdf
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Symptom Checklist-90 (SCL-90) was used to investigate the current status of psychological health of 222 teachers randomly selected from 40 special education schools or special education centres in Yunnan Province, to systematically investigate the level of psychological health status of special education teachers and the influence of demographic characteristics on the level of psychological health. The results indicate that: the psychological health of special education teachers in Yunnan Province in terms of SCL-90 scores on each factor and total scores was significantly lower than the national norm, higher than that of primary and secondary school teachers, and lower than that of early childhood teachers in Yunnan Province. The top three psychological problems were obsessive-compulsive symptoms, interpersonal sensitivity symptoms, and depressive symptoms. The psychological health of special school teachers in Yunnan Province is not optimistic. The relevant departments should pay attention to the psychological health of special education teachers and strive to improve the psychological health of special education teachers through various channels and ways.
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.
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 | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.012 |
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 it