Rethinking Conflict: Perspectives from the Insight Approach
Bibliographic record
Abstract
Abstract In this article, the authors present the “insight approach” to conflict as an analytical and methodological framework that addresses the dynamic interactions between conflicting parties. According to the insight approach, conflict is relational, dynamic, and adaptive, generated from the responsive interpretive frameworks that parties use to construct meaning. Conflict arises as a result of parties' experience of what insight theorists call “threat-to-cares,” which generates defend–attack patterns of interaction between them. The authors suggest that rethinking the nature of conflict so that it is seen as an interaction embedded in meaning making enables conflict interveners to help parties gain insight into, and articulate, the values that are being generated, advanced, threatened, and realigned within the complex interactions that define us as social beings. In doing so, parties develop abilities to generate new patterns and solutions that can limit and even eliminate the experiences of threat that generate conflict between them.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.021 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.010 | 0.070 |
| Scholarly communication | 0.021 | 0.029 |
| Open science | 0.004 | 0.014 |
| Research integrity | 0.008 | 0.014 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".