Bibliographic record
Abstract
迈克尔.鲍尔（Michale Power）是加拿大拉瓦勒大学教育学院教授,教育技术项目部主任,加拿大教育创新网络（The Canadian Network for Innovation in Education）原加拿大远程教育协会副主席。2007年和2008年连续担任加拿大社会科学和人文学科研究委员会（SocialSciences and Humanities Research Council）评价专员。该委员会是政府下设负责推进以大学为基础的人文学科和社会科学研究和培训的机构。他还担任了《加拿大教育学报》《在线学习和教学》《远程教育期刊》等学术期刊的评审人。迈克尔.鲍尔教授有着非常丰富的远程教育管理和教学实践的经验,不仅承担了《电子学习：从远程教育到在线学习》《教学系统设计》等研究生课程的主讲任务,还有着在远程教学大学和双重模式大学从事远程教育教学设计和教学管理的经历,发表论文近50篇。他所著作的《一个设计者的记录：教学设计个案研究》于2009年由阿萨巴斯卡大学以英法两种语言同时出版,该著作是由特里.安德森（Terry Anderson）组织编写的远程教育系列出版物中的一部。他首创了＂混合在线学习设计＂理论,并创建了一个与此研究相关的网站,组织了20多个国家的研究者,分别以英、法、西班牙、葡萄牙等语言开展高等教育同步和异步学习技术的研究。迈克尔.鲍尔教授的＂混合在线学习设计＂理论,以及其丰富的远程教育管理和教学实践的经验,对于中国远程教育的科学发展有非常重要的借鉴意义。为此,本刊特组织国内的学者与迈克尔.鲍尔教授展开了交流与对话。
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.009 | 0.028 |
| Scholarly communication | 0.015 | 0.012 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.012 | 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".