Bibliographic record
Abstract
中国时尚产业起步于20世纪90年代，2010年市场规模接近4000亿元人民币，据预测，到2020年该市场规模将增长3倍，超过1万3千亿元。创立于2005年的南京锐进传媒公司是潮流细分市场中的弄潮儿，经过近10年的发展，公司由最初的潮流杂志蜕变为2013年盈利4000多万的多业务平台，在2014年福布斯“中国非上市潜力企业100强”中名列34，并入选“2014安永复旦中国最具潜力企业”。企业的成长让创业者郑跃看到了更多的发展机会，需要一些能够融合多个业务，并跳出目前业务的“全才”来统领。然而，由于公司一贯走的是业务导向型的发展路子，郑跃的手下大将都是各业务块的专才，而且各条线各自为阵，缺乏协同配合的动力。为此，郑跃开始大刀阔斧地整合以媒体和零售为主的不同平台资源，协调融合不同领域的人才。实行职能制、建立协调综效小组、召开月度南京高管会议，一时间可谓新招迭出。这些协同措施是否有效？锐进能否由此摆脱成长的束缚？郑跃和他的团队所面临的疑问和摸索，是处于快速发展期的企业在组织成长和人才管理方面面临的共同难题。
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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.009 | 0.014 |
| Scholarly communication | 0.016 | 0.014 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.019 | 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".