Luda Technology and Shanghai Railway Bureau: Confidential Information of Luda Technology Negotiation Participants (A)
Bibliographic record
Abstract
2012 年春节过后，路达科技股份有限公司（以下简称“路达”）的副总赵懋庭接到了上海铁路局对外合作项目主管张博通的电话，要求迅速完成在商场、地铁和超市推出自助售票设备的谈判。路达与上海铁路局就该项目的谈判已持续了三年多，但进展缓慢。A案例从路达赵懋庭的角度出发，为了在谈判中能达到目的并维护底线，路达围绕着价格、选址、技术实现和衍生品设立议题，并拟定出可能的谈判结果。B案例从铁路局张博通的角度出发。张博通也列出了与路达类似的议题，只是因为安全是铁路最主要的追求，所以，他的重点议题是技术实现，其次才是价格、选址和衍生产品。由于双方立场不同，他们分别在不同的可能谈判结果上给出了截然不同的权重比分。双方都希望能按照自己的计划表，实现目的维护底线。这个案例涉及如何进行谈判的问题。
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.011 | 0.005 |
| Scholarly communication | 0.015 | 0.010 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.041 | 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".