Bibliographic record
Abstract
恩启的创业初心，是用科技手段提升孤独症康复教育水平，让每一个患孤独症的孩子都能获得专业的康复服务，因此，恩启的创业，主要是围绕解决社会问题并创造社会价值来展开的。在其8年创业中，恩启先打造了培训孤独症康复教师的云课堂，并引入了评估患儿能力的VB，希望改变传统康复教育不针对患儿具体能力而盲目训练的模式。然而，很多机构反馈VB不好用而不用，不得已，恩启从产品服务商转型到线下开康复机构，通过亲自示范让VB得以在行业中推广，同时，恩启又基于自己的康复机构打造了康复课程体系及其数字化执行和管理平台，并将这些产品对外赋能给其他康复机构和医疗机构及家长。在不断成长的过程中，恩启引入了职业经理人，后者不仅带来了专业管理能力也引发了文化碰撞。无论如何，发展到2022年初，恩启形成了两块业务，一块是直营，他们拥有15家高端直营康复中心；另一块是对外赋能，包括爱迪因品牌、IDEA教学示范班、培训和帮助医疗机构建立孤独症筛查体系。不过，当直营和赋能市场都迎来快速发展的机遇和挑战时，当恩启的资源和能力不能确保它同时将这两块业务都做到最好时，创始团队不得不面临战略定位的选择：作为社会创业企业，恩启未来的战略重点是应该放在赋能行业上？还是放在不断开设康复中心上？
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 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 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.010 | 0.019 |
| Scholarly communication | 0.014 | 0.015 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.023 | 0.002 |
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".