The Choice at the Crossroads of History: Research on Development Path of Archival Education in Mainland China from 1949 to 1966
Bibliographic record
Abstract
The mainstream view of archival field in mainland China is, when the archival education was reconstructed in 1952, the Chinese mainland faced the dilemma of ＂no teacher, no textbook and no experience＂. In fact, within the 16 years from 1934 to 1949, the archival education of the Republic of China had left quite a scale of archives education resources to the Chinese Mainland in three aspects, namely educational institution, teachers and monographs. However, such resources that deviated from the expected values were not used initially. Chinese mainland turned to the Soviet Union for help, and completely copied the Soviet archive education model with the help of the Soviet Union. After then, it began to selectively use some of the archive education resources of the Republic of China and began to localize the Soviet archival education model, creating an education system for archives in mainland China which is in line with China's national conditions.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".