Bibliographic record
Abstract
This chapter focuses on the manager's role as conflict resolver and is based on the meta principle that negotiation and mediation processes, when deployed appropriately, enhance manager effectiveness in resolving many of the conflicts that arise at work. It presents empirically derived negotiation and mediation strategies that managers can utilize to proactively deal with conflict, mitigate the likelihood that conflict will arise, and support the productivity and health of their organization. Four key structural sources of conflict in organizations that managers should be aware of include (i) goal incompatibility, (ii) interdependence, (iii) ambiguous rules, and (iv) scarce resources. Managers are encouraged to use integrative negotiation strategies to facilitate mediations because integrative strategies improve disclosure of interests, aspirations, and priorities, exchange of information, trade-offs, and concessions and brainstorming of ideas, all of which promotes constructive resolution of conflicts.
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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 | 0.024 | 0.027 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.005 | 0.024 |
| Scholarly communication | 0.015 | 0.013 |
| Open science | 0.003 | 0.012 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".