Bibliographic record
Abstract
党的十八大报告内容丰富、全面系统、博大精深，是从战略全局上对我国改革发展作出规划和部署，科学制定适应时代求和人民愿望的行动纲领和大政方针。十八大报告中指出：教育是中华民族振兴和社会进步的基石。坚持教育优先发展，全面贯彻党的教育方针，坚持教育为社会主义现代化服务的根本任务。培养德智体美全面发展的社会主义建设者和接班人。全面实施素质教育，深化教育领域综合改革，着力提高教育质量，培养学生创新精神。办好学前教育，均衡发展九年义务教育，完善终身教育体系，建设学习型社会。大力促进教育公平，合理配置教育资源，重点向农村、边远、贫困、民族地区倾斜。支持特殊教育，提高家庭经济困难学生资助水平。
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".