Attitude-Based Strategic Negotiation for Conflict Management in Construction Projects
Why this work is in the frame
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Bibliographic record
Abstract
An innovative negotiation methodology for managing conflicts in construction projects is presented in this article where multiple decision makers are involved. The proposed negotiation methodology has a unique ability to consider the attitudes of the decision makers, which is an important psychological factor in the negotiations that take place in various stages of a construction project. The methodology is developed at the strategic level of decision making in which the graph model for conflict resolution (GMCR) is employed in assisting decision makers, such as project managers, to achieve the best strategic decision, given the competing interests and attitudes of the decision makers. A real-life case study 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 has been implemented in a negotiation decision support system that assists project managers in tackling real-world controversies, particularly in complex disputes that occur in construction projects.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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