Bibliographic record
Abstract
本案例描述了开市客带着其会员制仓储零售模式的核心竞争力进驻中国大陆市场前后的一系列动作，和它所面临的市场竞争态势以及所获得的市场反应。截至2020年4月，开市客在中国大陆的第一家卖场已运营了7个月，期间，它又买了两块用于开卖场的地皮。它的这种经营模式，与其全球模式，特别是北美模式几乎没有区别，然而，它在这里遇到的消费者反应却出乎意料，开业当天卖场火爆到不得不提前半天关门，但几天后它又迎来了长长的退会员卡队伍…… 在这样的市场，开市客要想长久生存下去，它的商业模式到底应该变还是不变？如果不变，那它可能就要面临如何站住脚并持续发展的问题；如果变，那就意味这它可能要颠覆自己既往成功的基石，那么，如何在自我颠覆中创新出一个能满足中国大陆消费者需求的商业模式，则是它必须要面对的挑战。
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.005 | 0.009 |
| Scholarly communication | 0.014 | 0.012 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.013 | 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".