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Record W368013630 · doi:10.7202/1087923ar

For Ourselves, Our Neighbours, Our Homelands: Religion in Folklorama's Israel Pavilion

2001· article· en· W368013630 on OpenAlexaboutno aff
Paul Bramadat

Bibliographic record

VenueÉrudit (Université de Montréal) · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicPublic Spaces through Art
Canadian institutionsnot available
Fundersnot available
KeywordsPavilionEthnic groupSociologyMulticulturalismWhite (mutation)Performing artsIconographyPoliticsGender studiesMedia studiesHistoryVisual artsArtAnthropologyPolitical scienceLawArchaeology

Abstract

fetched live from OpenAlex

Winnipeg’s Folklorama is the largest and longest-running multicultural festival in the world. Local ethnic groups present outsiders (and insiders) with cultural displays, foods, and usually an ethnic performance of some kind. The fact that members of these groups must formally decide how they will represent themselves makes this festival an excellent opportunity to understand the ways groups use these festivals to interact with the broader Canadian society. Although festival managers caution individual pavilion organisers to avoid provocative political or religious issues when designing their pavilions, in the process of depicting particular cultures, ethnic religious traditions are often expressed. In this article, the author focuses specifically on the place and depiction of religions (mainly Islam and Judaism) in the Israel Pavilion. This analysis reveals that the depictions of religion in this pavilion serve to further some of the specific and general goals of the community, including the reduction of local ignorance and anti-Semitism, the preservation of Jewish identity, and the promotion of pro-Israel sentiment.

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 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)0.001
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.458
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.011
GPT teacher head0.236
Teacher spread0.225 · 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 teacher head, 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

Citations5
Published2001
Admission routes1
Has abstractyes

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