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Record W3018792738 · doi:10.1080/13528165.2020.1738191

‘Never be Dull’

2020· article· de· W3018792738 on OpenAlexaboutno aff
Heather Fitzsimmons Frey

Bibliographic record

VenuePerformance Research · 2020
Typearticle
Languagede
FieldSocial Sciences
TopicHistorical Gender and Feminism Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPridePleasureWhite (mutation)ChoseGirlPsychologyVisual artsGender studiesSociologyArtPolitical scienceLawDevelopmental psychology

Abstract

fetched live from OpenAlex

In their first decade of operation in Canada, Canadian Girl Guides presented numerous performances, primarily as fundraisers, to raise money for the Red Cross or to go to camp. Their performances included a great deal of variety, and often gymnastics drills. While critics suggest that these drills were joyless affairs, girls chose to do them, and many probably took pleasure and pride in developing the choreography and performing them well. Preliminary research with twenty-first-century girls shows that developing the drills can be a lot of fun, and that the movement vocabulary has considerable creative potential. Performing the drills in early twentieth-century communities could challenge expectations about differences between boys and girls while demonstrating girls’ strength, emphasize a hopeful future full of healthy (probably white) girls who would become healthy mothers, and encourage audiences to think about unity. In the early twentieth century, Guides would have been unlikely to have seen a professional physical culture drill. With no professional counterpart, girls could not really be amateurs, but it is important that girls probably had to imagine the best drill possible.

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)0.004
metaresearch head score (Gemma)0.008
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.336
Threshold uncertainty score0.668

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0210.022
Scholarly communication0.0070.006
Open science0.0020.005
Research integrity0.0030.008
Insufficient payload (model declined to judge)0.0240.011

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 head0.349
GPT teacher head0.439
Teacher spread0.090 · 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

Citations2
Published2020
Admission routes1
Has abstractyes

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