The Politeness Principles in Business Negotiation
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Business negotiation is the solution to reach an agreement or to solve the disagreement. It is also a process of exchanging, discussing and even arguing about the issue. Any party in the negotiation wants to cooperate with the other party to reach his purpose and try to win the most benefits as well. Therefore, it is necessary to adopt the appropriate language strategies. Among them, politeness strategies are most commonly used to contribute to a successful business negotiation. Politeness strategies can enhance the mutual trust and understanding among negotiators so as to increase the opportunities. This article attempts to highlight the politeness principles and analyze their application in business negotiation. The appropriate treatment to the threat of face in communication can retain both positive and negative aspects of the face, thus making the negotiation go on smoothly.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it