Bibliographic record
Abstract
本案例主要描写在竞争激烈的中国餐饮行业，西贝从一个非主流的西北菜餐厅成长为中国正餐市场年营收排名第六的品牌餐饮企业的过程。这个过程主要包含三方面内容：第一，西贝如何构建内部管理体系；第二，西贝如何激发管理者和员工的创新激情；第三，西贝创始人的贡献，西贝32年的创业成果，是其创始人和董事长贾国龙带领高管团队坚持追求做“有价值的企业、做行业第一”的结果。在他的坚持下，西贝一直在围绕这个目标打造企业愿景、管理体系和企业文化。 然而，就是这样一个战略目标和路径清晰的企业，却在新冠疫情不期而至时对外声称难以为继并进行产品涨价。西贝的这些反应行为是应该全部归因于新冠疫情来得太猝不及防以至于让企业没有招架空间吗？在之前一直被证明有效的西贝组织管理能力是否与这样的应急行动有着某种因果关联？接下来，西贝该怎么办？
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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; 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".