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Record W2563324485 · doi:10.1558/rsth.32558

How Gelatin Becomes an Essential Symbol of Muslim Identity

2016· article· en· W2563324485 on OpenAlex
Rachel Brown

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueReligious Studies and Theology · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicCulinary Culture and Tourism
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsImmigrationNegotiationIdentity (music)SociologySymbol (formal)EthnographyGender studiesMedia studiesPolitical scienceAestheticsSocial scienceLawAnthropology

Abstract

fetched live from OpenAlex

Identity negotiation is an essential process in the immigrant experience and, since “we are what we eat,” food can play an important role in the creation, presentation and maintenance of these negotiated identities. In this article I argue that by choosing which religious/cultural food practices to continue and which ones to alter, by choosing to label them in particular ways or to relegate them to specific places and times, my informants show the vast and varied ways that Muslims negotiate their identities in two distinct contexts of reception (COR): Paris, France and Montreal, Canada. I also suggest that these contexts of reception have a significant impact on the way that immigrants live their religious lives in the host society and that food practice is one avenue to investigate these effects. Consequently, through an ethnographic exploration of the experiences of Maghrebine Muslim immigrants in Paris and Montreal I contend that food can act as a lens into, and critique of, larger trends in the study of religion and migration.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.579
Threshold uncertainty score0.119

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.017
GPT teacher head0.253
Teacher spread0.236 · 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