Bibliographic record
Abstract
2012年7月底，芬尼克兹集团召开了年中会议，公司创始人、董事长及CEO宗毅先生意识到：集团整体状况不错，但子公司之一的芬尼电器业绩不尽人意，5000万元的年度销售目标，上半年只完成了1000多万元。芬尼克兹集团借助芬尼电器，从B2B进入B2C领域，尝试在互联网上销售家用产品，可以品牌知名度不高，也缺乏做互联网的经验。宗毅琢磨着：如何快速、低成本地提高品牌知名度？如何协调线上线下营销体系扩张速度？宗毅也担心着集团远期发展：芬尼克兹独创了“裂变式”企业发展模式，鼓励业务骨干创立子公司并成为股东。但当子公司业务发展面临障碍，或者创始人跟不上企业发展速度，撤换子公司总经理又变成一个难题，应该设立怎样的“家法”来杜绝“裂变式”模式的弊端？
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.003 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.012 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.005 |
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".