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Record W2791289203 · doi:10.1177/1350506818755415

Travelogue of secularism: Longing to find a place to call home

2018· article· en· W2791289203 on OpenAlexaffabout
Amélie Barras

Bibliographic record

VenueEuropean Journal of Women s Studies · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicMulticulturalism, Politics, Migration, Gender
Canadian institutionsYork University
Fundersnot available
KeywordsSecularismVisionPoliticsContext (archaeology)State (computer science)Dimension (graph theory)SociologyAestheticsGender studiesPolitical scienceLawHistoryPhilosophyAnthropologyComputer scienceArchaeology

Abstract

fetched live from OpenAlex

Recent works have invited us to look into how modes of secularism influence the shape of ‘modern’ religion. This literature has remained quite state-centred, paying less attention to how concepts of secularism migrate from one national context to another. This article seeks to investigate these transnational dynamics. More specifically, it aims to explore this process of travelling through the contemporary writings of the Quebec-based essayist Djemila Benhabib. The article approaches her writings as ‘travelogues’: a genre which acts as an invitation to focus on the ‘travelling’ dimension and politics of location of her accounts. A special emphasis is put on analysing how her writings are vehicles for the travel of gendered visions of secularism from France to Quebec. Ultimately, the article argues that taking these processes of transnational migrations into consideration is necessary to better locate and understand the politics of national debates.

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)0.003
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.293
Threshold uncertainty score0.583

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0190.024
Scholarly communication0.0090.005
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.127
GPT teacher head0.398
Teacher spread0.271 · 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

Citations15
Published2018
Admission routes2
Has abstractyes

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