CONFLICT, CO-OPERATION, AND CULTURE: A STUDY IN MULTIPARTY NEGOTIATIONS
Bibliographic record
Abstract
This paper presents a report and analysis of simulated negotiations in a multiparty institutional context, specifically a Canadian Aboriginal-Crown context. The purpose is to offer a conceptual model of skills and processes of successful negotiations under such circumstances. The Aboriginal-Crown subject of the simulation has particular relevance in light of Canada's Supreme Court declaration in Delgamuukw v. British Columbia, [1997] 3. S.C.R. 1010 at para. 186 (quoting itself from Sparrow v. The Queen, [1990] 1 S.C.R. 1075) that Section 35(1) of the Constitution Act, 1982 "provides a solid basis upon which subsequent negotiations can take place." The vehicle of the analysis is participant reflections, which offer a 360-degree view of the simulation, selected, classified, and combined into a conceptual model by the instructor. Multiparty institutional conflicts are large-scale social and organizational conflicts involving multiple groups that have historical, social, cultural, and economic significance, potential legal claims and remedies, and ongoing relationships. Formal negotiations in a multiparty institutional context consider possible changes to some aspect of current institutional arrangements, which are the legal and policy rules governing group relationships. Multiparty institutional negotiations are high stakes because the goal is institutional reform that will affect large numbers of people over the long term. Neither the outcome of negotiating nor of any particular reform is predictable. Leaders find such uncertainty a heavy challenge, and often participate only when facing even greater risks through violence, institutional breakdown, or external threats.
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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 | 0.012 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.023 | 0.015 |
| Scholarly communication | 0.014 | 0.006 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".