Bibliographic record
Abstract
课程目标是实施课程与教学的依据和灵魂，对教学目标和教学活动的开展起着规定和引领的作用。实践过程中，虽然我们也在运用课程目标进行施教活动，但普遍存在一种错误做法：简单地移植《课程标准》或照搬各类“教学参考书”上的内容，教学目标抽象而概括，如在情感态度与价值观目标上，笼统地表述为培养学生的“爱国主义情感”“健全的人格”“激发学习历史的兴趣”“陶冶情操”等，缺乏必要的符合教学内容和学生实际情况的“细化”和“明确化”。事实上，这样的教学目标表述，不但形式单调，内容空洞，而且无法真正落实，其结果可想而知。新课程教学强调教师要在课程资源的开发和教学实施过程中发挥主体性作用，要进行创造性地教学。具体到教学实践中，要求我们结合教学内容和教学实际情况对课程目标进行创造性地开发、运用，将课程目标具体化、明确化，落实到日常的教育教学行为当中。
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".