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Record W4240458766 · doi:10.1016/s0163-786x(2008)29

Pushing the Boundaries: New Frontiersin Conflict Resolution and Collaboration

2008· book· en· W4240458766 on OpenAlexaboutno aff

Bibliographic record

VenueResearch in social movements, conflicts and change · 2008
Typebook
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsnot available
Fundersnot available
KeywordsConflict resolutionResolution (logic)Political scienceComputer scienceArtificial intelligenceLaw

Abstract

fetched live from OpenAlex

The research papers in this volume were initially presented at a conference, entitled 'Cutting Edge Theories and Recent Developments in Conflict Resolution', which celebrated the 20th anniversary of the Program on the Analysis and Resolution of Conflict (PARC). Presenters were encouraged to submit their papers for consideration, and following a rigorous peer review and revision process, nine articles were accepted. The volume explores some of the major themes of conflict analysis, including how powerful dominant discourses can both soothe and exacerbate conflict, the role of civic organizations in promoting peace and incubating democratic principles, the ways in which different forms of dialogue are used to heal historically dysfunctional inter-group relations, and the importance of a deeply institutional, structural understanding of ethnocentrism and racism.The authors conducted their research in several different countries - the U.S., Canada, Bosnia, and Northern Ireland - and used a wide range of analytical techniques including in-depth interviews, surveys, and document analysis. What holds them together is the rigorous tie they make between theory and empirical data. Some authors have built conflict theory inductively, based on their own research and/or secondary sources (e.g. Keles, Coy, et al, and Funk-Unrau), while others have tested existing models with empirical data (e.g. Hemmer, Getha-Taylor, and Pincock). These articles collectively make a solid contribution to theoretical development in the conflict analysis field

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 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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.737
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0050.002
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.207
GPT teacher head0.405
Teacher spread0.199 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations2
Published2008
Admission routes1
Has abstractyes

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