Training Course for Guizhou Teachers for the Establishment of Schools Libraries
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
In the past two decades, under the economic reform, in The Mainland China, the annual economic growth(GDP) is more than 10%, but in general ,in the western part of China most of the people are lived in poverty and uneducated. As a result, there are lots voluntary and charitable agencies in Hong Kong which help the Chinese people to get rib of poverty and let the kids in the villages receive education. They support the rural area to build schools and set up school libraries in order to enhence the educational standard in the rural area. In December, 2006, the Hong Kong Teacher-librarians’ Association was invited by the JIAN XING CHARITABLE FOUNDATION LIMITED, one of the charitable agencies to organise a four and a half days training course for the school teachers in Guizhou province, who will be responsiblefor the operation of the school libraries in future. With the help of the Jiangsu provinces Mr. Cheung Jing Wo, the course was successfully helded in Jin Sha of the Guizhou province.
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 | 0.003 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it