Research on "3 Entrances, 2 Contacts, 1 Friend" into the Whole Process of Moral Education Practice
Bibliographic record
Abstract
In order to implement the policy of governing Xinjiang, the Education Working Committee of Xinjiang issued the Implementation Plan on carrying out the "3 Entrances, 2 Contacts, 1 Friend" activity in the education system of the whole region, and decided to carry out the "3 Entrances, 2 Contacts, 1 Friend" activity in schools at all levels in the region. As an important practice of ethnic unity and progress education in Xinjiang colleges and universities, the activity of "3 Entrances, 2 Contacts, 1 Friend" is an important way to achieve the overall goal of social stability and long-term stability in Xinjiang. Based on the practice of the "3 Entrances, 2 Contacts, 1 Friend" activity in Xinjiang universities, this paper analyzes the advantages, experiences and shortcomings of the "3 Entrances, 2 Contacts, 1 Friend" activity, and discusses the promotion path of the "three steps, two steps and one friend" activity, in order to provide references for Xinjiang universities to carry out ethnic unity and progress education and the "3 Entrances, 2 Contacts, 1 Friend" activity.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.011 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".