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Record W2145935427 · doi:10.1177/0263276409104965

Islam and the New Political Landscape

2009· article· en· W2145935427 on OpenAlexaff
Les Back, Michael Keith, Azra Khan, Kalbir Shukra, John Solomos

Bibliographic record

VenueTheory Culture & Society · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicReligion and Society Interactions
Canadian institutionsConcordia University
FundersEconomic and Social Research Council
KeywordsPoliticsMainstreamFaithIslamDemocracyState (computer science)SociologyContext (archaeology)Political scienceAction (physics)Environmental ethicsPolitical economySocial scienceLawEpistemology

Abstract

fetched live from OpenAlex

In this article we consider the forms of democratic participation that revolve around issues of religious faith and Islam. The context of such work is one in which a concern with the levels of participation in the political institutions of Western Europe and North America feature prominently in both journalistic and academic debate. The article speaks to debates that are concerned with the efficacy of specific forms of participation. In doing so we argue that we need to think carefully about the forms of social action that constitute participation in the democratic process. We also need to think precisely about definitions of the political with which people engage. If we take the political as a domain in which the ethical settlement of society is contestable, the sorts of mobilization around faith communities that this article describes are clearly a form of political participation. Yet the article argues that the reasons many become involved in these forms of social organization in contemporary East London is precisely because they are seen as less complicit with mainstream political institutions of the British state.

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)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.029
Scholarly communication0.0100.005
Open science0.0000.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.001

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.

Opus teacher head0.008
GPT teacher head0.305
Teacher spread0.297 · 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 designNot applicable
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

Citations28
Published2009
Admission routes1
Has abstractyes

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