Bibliographic record
Abstract
在传统的服务市场如何创出一片新生存空间？如何在个性化需求明显的行业进行标准化服务运营？海马体案例给出了答案。海马体是中国拥有门店数最多的摄影品牌，2015年创建于杭州,从拍证件照起步，8年内发展了覆盖全国80多个城市的600家店。“轻、快、简”是海马体面向年轻人群制定的战略定位。基于这个定位，海马体制定了标准化的业务操作流程和服务，由此形成了与传统摄影完全不同的业务模式，并因此被冠以“新物种”称号。海马体下一步该如何发展呢？针对这个问题，2022年11月3日，在海马体高层战略会上产生了三种截然不同的观点：一、亟需着力提高门店的服务交付能力；二、着力做好化妆品零售品牌业务；三、加速开出更多的创新主题门店。究竟哪一种观点该被确定为下一步的战略重点呢？创始人吴雨奇不得不仔细思考。
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 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".