Bibliographic record
Abstract
2012年5月，中国家居建材团购网站CityTogo（城市团购网）的创始人、CEO贾光先生在杭州总部办公室里与同事开会，讨论公司团队建设问题。会上，负责业务的同事又提出要大量招聘业务人员的想法，因为“人太少，对客户要求的反应速度就跟不上。” 但是，负责人力资源的同事则摇头否定：“做不到。我们招聘要求高，速度没法快。如果招不到合适的员工，不能代表公司、不能为客户真正创造价值，对业务长期发展更加不利。”… … 会议结束了，但贾光一直在思考这个问题：竞争激烈，扩张速度如果慢于竞争对手就会失去市场份额，CityTogo需要大量人才。人才已经成了快速扩张中的瓶颈。
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.030 |
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".