Bibliographic record
Abstract
本案例分A、B两部分,描述了小猪在民宿共享领域的9年创业故事。案例A展现了小猪在创业前7年打造C2C平台的过程。作为民宿共享C2C平台的中国先驱者,小猪在资本的驱动下一直保持快速增长,然而,它却在2019年底陷入被互联网巨头平台围追堵截的被动局面。为此,小猪联合创始人王连涛不断反省,小猪为什么会遭遇此窘境?接下来小猪该如何摆脱被动? 案例B展现了王连涛摆脱被动的行动:他用近乎“矫枉过正的极端”手段否定了小猪之前的共享(“家”)文化并建立了绩效文化;推动小猪向民宿托管战略转型。根据王连涛的说法,新战略要产生效果至少需要一年时间,因此,截至2020年6月底,小猪转型的市场效果确实不明显,但与此同时,民宿托管市场已在发生变化,竞争对手也在不断发力。那么,凭借新战略,小猪能如愿改变自己的被动局面吗?
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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.003 | 0.012 |
| Insufficient payload (model declined to judge) | 0.020 | 0.006 |
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".