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Record W2132262134 · doi:10.1017/s1537592708080468

Islands of Agreement: Managing Enduring Armed Rivalries

2008· article· en· W2132262134 on OpenAlexaff
Jonathan Paquin

Bibliographic record

VenuePerspectives on Politics · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Peace and Security Dynamics
Canadian institutionsThe King's University
Fundersnot available
KeywordsAssertionConflict resolutionAgreementNeglectInternational conflictArmed conflictPolitical scienceResolution (logic)PhenomenonConflict managementSociologyLawEpistemologyPoliticsPsychologyPhilosophyComputer science

Abstract

fetched live from OpenAlex

Islands of Agreement: Managing Enduring Armed Rivalries. By Gabriella Blum. Cambridge, MA: Harvard University Press, 2007. 355p. $49.95. Gabriella Blum's book is built on the assertion that some conflicts cannot be resolved. She argues that since some conflicts will always be inescapable, the academic approach should move away from conflict prevention and resolution to the broader and more accurate notion of conflict “management.” Blum argues that considering conflicts as one whole phenomenon, or as a total relationship, leads scholars to search for one big (and often simplistic) solution for their resolution. She maintains that interstate relations are multidimensional and that conflicts should be seen as only one aspect of interstate relations. She asserts that “by concentrating our efforts … on conflict resolution only, we often neglect the potential of reinforcing those elements that fall outside the conflict yet inside the relationship” (p. 5).

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0040.009
Open science0.0010.007
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0170.003

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 head0.022
GPT teacher head0.296
Teacher spread0.274 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations19
Published2008
Admission routes1
Has abstractyes

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