Bibliographic record
Abstract
2008年10月,法国CIC银行邀请具有中法双重投资背景的凯辉私募股权投资基金,探讨CIC收购的法国最大定制衣柜公司Sogal及其中国合作伙伴索菲亚的合作事宜。中国衣柜行业从起步计算不到10年历史,2007年,中国城市家庭定制衣柜拥有率仅为6.8%,大大低于西方国家水平。作为中国最早的定制衣柜企业之一,索菲亚早年依靠代理法国衣柜第一品牌Sogal家具起家。2004年,索菲亚与Sogal-France合资成立"广州索菲亚公司",并在国内家具市场取得了快速发展。2008年,Sogal被CIC银行收购,索菲亚投资方变更为法国CIC银行。由于对中国市场缺乏了解,CIC银行邀请凯辉探讨合作事宜。案例(B)描述了2009年1月凯辉决定投资索菲亚之后,在与其他合作伙伴进行谈判的过程中所遇到的问题与解决方案;投资协议达成之后索菲亚上市过程中所面临的风险与对策。经过短短几个月,凯辉决定与CIC共同投资。凯辉为何做出这样的选择?凯辉加入投资阵营后,将给索菲亚带来哪些影响?如何保障CIC、凯辉、索菲亚三方的共同利益?索菲亚的上市之路又遇到了哪些问题?凯辉的投资,能获得预期回报吗?
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.073 |
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".