Communication in conflict and problem-solving: a study of dialogue in everyday life
Bibliographic record
Abstract
This dissertation provides a theoretical framework for a multi-disciplinary approach to communication in conflict and problem-solving. It sheds light on best practices of communication, with a focus on dialogue in multi-party decision-making, conflict intervention, policy-making and organizational process design situations. It is undertaken as action research to aid mediators, conflict interveners and facilitators in design of deliberative decision-making processes involving groups with diverse backgrounds, who are sometimes in disagreement. The investigator gained privileged access to three different groups of dialogue-based events in Western Canada: one on Canadian involvement in war and economic development policy in Afghanistan, one on development of organizational conflict resolution policy, one on drug policy consultation in the City of Vancouver, British Columbia. Analysis of events is grounded in theories of interpretation and dialogue, and considers the historical context of mediation as an emerging field of professional practice. This dissertation’s concept of the everyday life context of events draws on anthropology of urban life, critical studies of power and discourse, conflict studies, the notion of interpretive flexibility from science and technology studies, and the constructivist philosophy of technology. This dissertation’s theoretical framework is based on a conflict intervention model that illuminates interpersonal and mass media communication studies. Analysis of dialogue events considers the role of professional expertise in dialogue process design. It considers the inter-relationship of content of discourse, of the process of communication, and of social and cultural effects of conflict and problem-solving in dialogue situations. It concludes that dialogue, debate and diffusion are interdependent ‘options’ of communication in conflict and problem-solving. Though a broad definition of dialogue is used, dialogue is found to comprise a small fraction of any of the three groups of events. These findings support a method that better connects problems that people discuss in dialogue events, problems of dialogue-making which are inherent to such events, and perceived success or failure of these encounters. Finally, this dissertation considers various historical case studies to argue that egalitarian, transformative discourse can be planned, but not without timely recognition of specific and often transitory conditions that lead to “moments of opportunity” for dialogue.
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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 | 0.011 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.012 | 0.046 |
| Scholarly communication | 0.019 | 0.019 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.002 | 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".