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Record W2086180419 · doi:10.1080/14781150802079813

‘Causes of another sort’: action, behaviour and the caliphate

2008· article· en· W2086180419 on OpenAlexfundno aff
Ken Fraser

Bibliographic record

VenueGlobal Change Peace & Security · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicIslamic Studies and History
Canadian institutionsnot available
FundersUniversity of New EnglandAustralian National UniversityYork University
KeywordsCaliphateEpistemologyCollective actionIdeologyIslamArgument (complex analysis)SociologyAction (physics)PoliticsIdentity (music)Social identity theoryPolitical scienceSocial groupLawSocial sciencePhilosophy

Abstract

fetched live from OpenAlex

The Islamic caliphate is a key competitor in the global ideological marketplace. Indeed, it has been called ‘one possible configuration for a post-industrial politics’ (Philip W. Sutton and Stephen Vertigans, ‘Islamic “New Social Movements”?: Radical Islam, Al-Qa'ida and Social Movement Theory’, Mobilization 11, no. 1(2006): 105). What is its nature? The answer illustrates the argument that the relationship between the informal conception of collective identity and its non-agentive interest in formal establishment is the ontological basis of international relations. This points the way toward resolution of the agent–structure problem with reference to evolutionary theory. Distinguishing between action and behaviour on the basis of subjecthood is useful, showing that actors' primary interest is self-identification through affirmation of an institutional ideal-state. Such ideational objects do not act, but those through which agents successfully constitute and affirm themselves are more likely to prosper strategically. The caliphate is one such. Thus, conceptions of collective identity behave, compete and evolve.

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)0.005
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.028
Scholarly communication0.0050.003
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.072
GPT teacher head0.317
Teacher spread0.244 · 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 designQualitative
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

Citations0
Published2008
Admission routes1
Has abstractyes

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