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Record W2772978350 · doi:10.1386/ijfs.20.3-4.237_1

(Re) Moving borders: North African clandestine emigrant in the age of terror

2017· article· en· W2772978350 on OpenAlexaff
Mustapha Hamil

Bibliographic record

VenueInternational Journal of Francophone Studies · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicHispanic-African Historical Relations
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsEmigrationImmigrationRefugeeAmbivalenceTerrorismPoliticsHybridityMiddle EastCivilizationFace (sociological concept)Political economyPolitical scienceSociologyHistoryEthnologyCriminologyLawAnthropologySocial science

Abstract

fetched live from OpenAlex

Abstract In the face of Europe’s stringent measures to regulate and monitor the flux of emigrants and refugees from Africa and the Middle East, a new type of emigrant has emerged: the harrag or clandestine immigrant who is, on his or her part, determined to push the idea of the political border to its limits. The clandestine immigrant in Spain today is not only regarded as an unwanted guest, a reminder of a past history of violence, but also as a potential terrorist bent on destroying western civilization and its values. This article examines the phenomenon of hrig or clandestine immigration in four Moroccan texts and focusses on three key themes: the persistence of the myth of Europe as an Eldorado, the symbolic disintegration of the harrag’s body, and Spain’s ambivalent vision of its Arab and Muslim Others. The purpose is to demonstrate, through a comparative study, how the harrag exposes the limits of Europe’s discourse on cultural hybridity and national belonging.

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)0.002
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: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0180.012
Scholarly communication0.0040.003
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.060
GPT teacher head0.319
Teacher spread0.259 · 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

Citations1
Published2017
Admission routes1
Has abstractyes

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Same venueInternational Journal of Francophone StudiesSame topicHispanic-African Historical RelationsFrench-language works237,207