Considering Attitudes in Strategic Negotiation over Brownfield Disputes
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
An innovative negotiation methodology for resolving disputes in brownfield reconstruction is presented for handling negotiation in the presence of multiple decision makers (more than two). A unique feature of the proposed negotiation methodology is that it takes into account the attitudes of the decision makers, which is an important psychological factor in construction negotiations. The methodology is developed at the strategic level of decision making in which the graph model for conflict resolution is employed to help participants determine the most beneficial strategic agreement, given the competing interests and attitudes of the decision makers. A real-life case study of a brownfield reconstruction negotiation is used to illustrate how the proposed methodology can be conveniently applied in practice and to demonstrate the importance and the benefits of incorporating the attitudes of multiple decision makers into the negotiation process in order to better identify the most feasible resolutions. The proposed negotiation methodology is implemented in a negotiation decision support system that assists managers in tackling real-world controversies, particularly complex construction disputes.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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