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Rethinking Conflict: Perspectives from the Insight Approach

2011· article· en· W1849738471 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueNegotiation Journal · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicConflict Management and Negotiation
Canadian institutionsCarleton University
Fundersnot available
KeywordsMeaning (existential)Construct (python library)Conflict resolution researchEpistemologySociologySocial psychologyConflict resolutionPolitical sciencePsychologyComputer scienceSocial science

Abstract

fetched live from OpenAlex

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.814
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.108
GPT teacher head0.286
Teacher spread0.178 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it