Bibliographic record
Abstract
截至2017年10月，猪八戒网历经10次“腾云行动”对既有产品、运营模式，甚至是商业模式进行变革。其间，它的商业模式从抽取交易佣金变到免佣，再从免佣变回到抽佣。促使猪八戒网服务交易规模增长只是猪八戒网创始人朱明跃2017年的一个追求，他还确立了更高的定位：打造知识人才共享平台。他意欲通过其已有的35个Zwork联合办公园区和正在打造的八戒小镇园区吸引所有的知识工作者加入猪八戒生态体系。当然，确立了这个定位后，朱明跃也意识到新的挑战：擅长线上运营的他们，如何有效经营线下集商务、办公和生活为一体的园区？线下资源和线上资源如何有效融合？学员需要站在朱明跃的角度讨论，重回佣金模式的猪八戒网应如何避免交易跳单，如何实现指数级增长，如何应对跨界所带来的一系列挑战。
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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.010 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.019 |
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".