MétaCan
Menu
← Back to cohort
Record W4391597213 · doi:10.32920/25164542.v1

Queer Kids are Not Alone: Searching for 2S-LGBTQIA+ Representation in Children’s Animated Television

2024· preprint· en· W4391597213 on OpenAlexaffabout
Katelyn O’Brien

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicGender, Feminism, and Media
Canadian institutionsUniversity of GuelphHumber Polytechnic
FundersArcadia Fund
KeywordsTownsendRepresentation (politics)Political sciencePhysics

Abstract

fetched live from OpenAlex

Within the last 10 years, there has been an increase of 2S-LGBTQIA+ representation within animated television shows for children aged 7-11 (Townsend, Deerwater, Adams & Trasandes, 2021; Loudon, 2020; Mihailova, 2019; Perlmutter, 2014). Simultaneously, animated stories often closely follow the experience of being othered, and discovering found family in like-minded individuals, similar to the experiences and development of 2S-LGBTQIA+ individuals (Loudon, 2020, Perea, 2018; Jane 2015; Halberstam 2011). This research study attempted to investigate if there was explicit 2S-LGBTQIA+ representation in children’s animated television shows for children aged 7-11 and what that representation looked like. This research paper was able to provide a snapshot of the current landscape of children’s animated television accessible in Canada, in relation to 2S-LGBTQIA+ representation, race, species gender and leadership.

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 score0.436
Threshold uncertainty score0.866

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 studies0.0050.003
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.062
GPT teacher head0.393
Teacher spread0.330 · 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
Published2024
Admission routes2
Has abstractyes

Explore more

Same topicGender, Feminism, and Media→French-language works237,207→