Embarking on a West-East Reciprocal Learning Journey: A Narrative Inquiry into Generalist and Specialist Teaching Models
Bibliographic record
Abstract
Alternate abstract: 本叙事探究基于许世静教授和康纳利教授（2013-2020）SSHRC中加教师教育和学校教育互惠学习合作项目，旨在实现两个目标：（1）理解加拿大小学全科教学模式和中国小学专科教学模式的优势，以数学教育为例，分析其特点；（2）探讨这两种模式在课程和教学方法方面可以相互学习的内容。该研究采用叙事探究作为研究方法，理论框架基于施瓦布的实践理论以及互惠学习作为合作伙伴关系的理念。该研究聚焦于一位加拿大全科教师和一位中国小学数学专科教师，同时以一位加拿大校长和一位中国校长为辅助参与者。数据收集方法包括中加小学课堂观察 (2016-2024)、及一对一访谈。本研究在各自的社会文化和历史背景下，总结了加拿大全科教学模式和中国专科教学模式的优势，并探索了潜在的互惠学习机会。本研究旨在为全科教师和专科教师提供思考其教学实践的契机，并基于各自的本地教育实践，改进其教学实践。此外，该研究期望为东西方背景下的教师教育学术讨论作出贡献，这一领域尚未被广泛探讨。同时，本研究也为理解中加两国教师的实践提供了新的视角。
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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 | 0.013 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.028 | 0.038 |
| Scholarly communication | 0.012 | 0.012 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.001 | 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".