Bibliographic record
Abstract
近年来，中国教育培训市场经历巨变，随着学员个性化需求悄然兴起，互联网及移动互联网迅猛发展，传统教学方式亟需变革。成立于1993年的“新东方教育学校”在业界兼具“口碑与品牌”，该校于2003年成立教育科技集团，并于2006年9月在纽交所成功上市，业务也由草创时期的以出国英语考试辅导为主拓展至语言培训、考试辅导、中小学及幼儿园、网络教育、教育内容、软件及技术分销等领域，2011年利润达1.018亿美金。尽管历年增长和利润令人欣慰，但在总量大、门槛低、竞争者众多的中国教育培训市场中，新东方面临学员需求变化、主要竞争对手向细分领域渗透等诸多挑战。公司的组织模式如何进行相应改变？日益突出的人才缺失问题如何及时解决？结合互联网的教育平台建设如何有效提速？是企业转型成功的关键所在。
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.008 |
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; both teacher heads agree on what is shown here.
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".