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Record W2044136223 · doi:10.7202/045107ar

The Changing Face of Little Italy: The Miss Colombo Pageant and the Making of Ethnicity in Trail, British Columbia, 1970–1977

2010· article· en· W2044136223 on OpenAlexvenueaboutno aff
Stephen A. Fielding

Bibliographic record

VenueUrban History Review · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsEthnic groupCONTESTGender studiesInstitutionContext (archaeology)BeautyPaternalismFace (sociological concept)SociologyPower (physics)GeographyPolitical scienceAnthropologySocial scienceLawArchaeology

Abstract

fetched live from OpenAlex

This article examines gender and ethnicity as part of the same social experience. It argues that the annual contest to crown Miss Colombo in Trail, British Columbia, during the first half of the 1970s, together with the campaign to preserve the beauty pageant after 1973, offers a unique gendered context to understand the making of ethnicity in a small city. Broadly speaking, the pageant reflected specific social, economic, spatial, and cultural changes within the local Italian experience: a strong sense of place, occupational success, movement to ethnically mixed neighbourhoods, and positive relations with non-Italians. These processes played out in a paradoxical forum of the Colombo pageant—a paternal institution that celebrated and evaluated young Italian women’s bodies. Never contesting the institution itself, which carried a gendered power imbalance, Italian women—both as volunteers and contestants—worked through the pageant to promote their own interpretation of Italian belonging and to endorse a range of new possibilities for themselves. The women dramatically recast, but did not overturn, the gendered structures through which these changes took place—a pattern that points to the resiliency of paternalism in discourses of ethnic 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 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.787
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.003
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 head0.022
GPT teacher head0.244
Teacher spread0.222 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations2
Published2010
Admission routes2
Has abstractyes

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