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Record W3213701836 · doi:10.3167/ghs.2021.140308

Physical Culture Drills and Alberta Girls Stepping Together Across Time

2021· article· en· W3213701836 on OpenAlexaffabout
Heather Fitzsimmons Frey, Jenna Kerekes

Bibliographic record

VenueGirlhood Studies · 2021
Typearticle
Languageen
FieldPsychology
TopicDiversity and Impact of Dance
Canadian institutionsMacEwan University
Fundersnot available
KeywordsGirlPsychologyGender studiesPhotovoiceSociologyDevelopmental psychologyVisual artsArt

Abstract

fetched live from OpenAlex

By embodying movement vocabulary and physical culture drills drawn from a 1911 textbook of physical exercises, in this girl-centred research project we examined how Alberta girls (aged 7 to 22) during the COVID-19 pandemic challenged ideas about Alberta settler girls who lived 100 years ago. Using performance-based historiography as a methodology, participants explored what embodying physical culture movement vocabulary could reveal about archives, past girls, and themselves. Debriefing led to insights concerning relevant social issues, such as gender equity, and current experiences like a growing appreciation for pre-pandemic community-oriented life. In asking provocative questions about the past, these girls demonstrated their potential to shift perceptions of how historically located and contemporary girls are imagined.

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)0.002
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 score0.763
Threshold uncertainty score0.471

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0140.013
Scholarly communication0.0040.001
Open science0.0020.007
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.031
GPT teacher head0.359
Teacher spread0.328 · 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
Published2021
Admission routes2
Has abstractyes

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