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？
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.004 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.030 | 0.003 |
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".