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Record W2120419069 · doi:10.1177/1368431013520386

Snapshots from the margins

2014· article· en· W2120419069 on OpenAlexaff
Feyzi Baban, Kim Rygiel

Bibliographic record

VenueEuropean Journal of Social Theory · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsWilfrid Laurier UniversityTrent University
Fundersnot available
KeywordsCosmopolitanismMulticulturalismTransgressiveSociologyDenialCultural assimilationImmigrationGender studiesPluralism (philosophy)CitizenshipUniversalismContext (archaeology)Political economyPolitical sciencePoliticsLawEpistemologyHistory

Abstract

fetched live from OpenAlex

Right-wing parties and governments in Europe have recently expressed greater hostility towards cultural pluralism, at times officially denunciating multiculturalism, and calling for the closure of borders and denial of rights to non-European nationals. Within this context, this article argues for rethinking Europe through radically transgressive and transnational understandings of cosmopolitanism as articulated by growing transnational populations within Europe such as immigrants, refugees, and irregular migrants. Transgressive forms of cosmopolitanism disrupt European notions of borders and identities in ways that challenge both liberal multiculturalism and assimilationist positions. This article explores the limits of traditional cosmopolitan thinking while offering a vision of cosmopolitanism based on everyday negotiations with cultural differences, explained using two illustrative examples or snapshots.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.042
Threshold uncertainty score0.141

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0050.001
Scholarly communication0.0050.003
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0420.008

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 head0.015
GPT teacher head0.263
Teacher spread0.248 · 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 designTheoretical or conceptual
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

Citations20
Published2014
Admission routes1
Has abstractyes

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