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Record W4414827962 · doi:10.29173/psur407

Bridging Divides: How the Edmonton Heritage Festival Can Mitigate Ethnic Polarization and Build Social Trust

2025· article· en· W4414827962 on OpenAlexaffvenueabout

Bibliographic record

VenuePolitical Science Undergraduate Review · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMulticulturalismEthnic groupCultural heritageCommercializationPoliticsSocial mediaBridging (networking)Cultural diversity

Abstract

fetched live from OpenAlex

Although Canada is often celebrated as a multicultural nation, the political reality of multiculturalism is more complicated than it appears. This paper explores how government-funded multicultural events, such as the Edmonton Heritage Festival, promote the building of social trust and mitigate ethnic polarization. Social trust plays an essential role in multicultural societies as its abundance fosters the cooperative attitudes necessary to maintain social order. The Edmonton Heritage Festival serves as a site where cultural visibility and intercultural contact promote mutual acceptance and understanding. Through attitude and behaviour altering, individuals are exposed to different cultures in ways that can gradually build trust. However, the festival also presents challenges, including the potential exoticization and objectification of cultures, especially those marginalized and racialized within Canadian society. The commercialization of the event may reduce its significance and reinforce orientalist stereotypes. Despite these tensions, the festival creates a space for increased cultural exposure, providing opportunities for people to come together and form shared understandings. As such, even if it is sometimes superficial, it still contributes to a more cohesive and inclusive society by allowing difference to coexist with respect.

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)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
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 score0.875
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0020.003
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.049
GPT teacher head0.369
Teacher spread0.320 · 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.

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

Citations0
Published2025
Admission routes3
Has abstractyes

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