MétaCan
Menu
Back to cohort
Record W3161019514 · doi:10.1016/j.heliyon.2021.e06994

“This is a different kingdom”: A case study of gender-creative feminine expression during princess play

2021· article· en· W3161019514 on OpenAlexafffund
Cayley Burton

Bibliographic record

VenueHeliyon · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicMedia, Gender, and Advertising
Canadian institutionsUniversity of British Columbia
FundersUniversity of British Columbia
KeywordsFemininityCreativityExpression (computer science)PsychologyGender studiesDevelopmental psychologyQualitative researchEarly childhoodEarly childhood educationSocial psychologyPedagogySociologySocial science

Abstract

fetched live from OpenAlex

Many children, but predominantly young girls, gravitate towards princess play. In response to previous academic findings suggesting that princess play is always detrimental to young children's developing perspectives of femininity, this qualitative study explores the potential for gender-creativity during this roleplaying game. In an effort to refute the pre-existing literature, the current case study asks the following question: To what extent does princess play offer creative or confining possibilities for childhood feminine expression? While much of the literature in early childhood education (ECE) indicates that Disney is the sole inspiration for every child's construction of this imagination game, the findings in this article indicate that Disney is one influence among many for focal participants. Using open coding to analyze data generated during play-based interviews with two cisgender girls, this article demonstrates that the creative possibilities of princess play remain underrepresented in research. Although princess play offers only partial potential for non-stereotypical feminine expression, gender normativity can be actively challenged, especially when adults support and encourage unconventional formats of princess play during early childhood.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.249
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.077
GPT teacher head0.358
Teacher spread0.281 · 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 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
Published2021
Admission routes2
Has abstractyes

Explore more

Same venueHeliyonSame topicMedia, Gender, and AdvertisingFrench-language works237,207