MétaCan
Menu
← Back to cohort
Record W2183571359 · doi:10.24124/2012/bpgub852

"She's the queen of everyone's heart": Community, gender, morality and sexuality in the "Queen Val-Vedette" and "Queen Aurora of the Evergreens" beauty pageants, 1948--1970.

2012· dissertation· en· W2183571359 on OpenAlexaffabout
Alison Matte

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsCanadian HeritageUniversity of Northern British ColumbiaLibrary and Archives Canada
Fundersnot available
KeywordsQueen (butterfly)BeautyHuman sexualityGeorge (robot)ArtKindnessArt historyHistoryGenealogyGender studiesSociologyAestheticsLawPolitical scienceBiology

Abstract

fetched live from OpenAlex

During the decades immediately following the Second World War, beauty pageants were popular spectacles throughout North American society. In contests held in Penticton and Prince George, British Columbia during the 1950s and 1960s, the winners were named Queen Val-Vedette' and Queen Aurora of the Evergreens' respectively. As indicated by unique titles awarded to the queens, these pageants held very specific meanings to some residents. Beauty contests were used as outlets for these residents' to express their sense of community identity, as well as gendered expectations for local young women. This thesis argues that the Penticton and Prince George pageants shared many similarities but ultimately portrayed their candidates and queens in manners that reflected divergent local values. These specific meanings did not necessarily translate to the provincial level, as evidenced by Queen Val-Vedette and Queen Aurora of the Evergreen's involvement with the Miss Pacific National Exhibition' pageant in Vancouver, British Columbia. --P. ii.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.130
Threshold uncertainty score0.261

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0240.020
Scholarly communication0.0080.002
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.038
GPT teacher head0.297
Teacher spread0.259 · 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

Citations0
Published2012
Admission routes2
Has abstractyes

Explore more

Same topicCanadian Identity and History→French-language works237,207→