The Reality and Myth of Sacred Issues in Negotiations
Bibliographic record
Abstract
Abstract This article investigates the role of sacred issues in a dyadic negotiation set in an environmental context. As predicted, a focus on sacred issues negatively impacts the negotiation, producing more impasses, lower joint outcomes, and more negative perceptions of one’s opponent; however, this is only true when both parties perceive that they have a strong alternative to a negotiated agreement. When negotiation parties perceive that they have weak alternatives, sacred issues did not have any effect on negotiation outcomes or opponent perceptions. These results suggest that the negative effects of sacred issues are driven in part by whether negotiators have recourse; in other words, exercising one’s principles and values may depend on whether people can afford to do so. We conclude by suggesting that the impact of certain sacred issues may be contextually dependent and that the term “pseudo‐sacred” may actually be a more accurate label for certain contexts.
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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 | 0.014 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.008 | 0.047 |
| Scholarly communication | 0.014 | 0.010 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".