MétaCan
Menu
Back to cohort
Record W4410420519 · doi:10.1080/09540253.2025.2506357

Gender transformative education as explained by youth feminist activists

2025· article· en· W4410420519 on OpenAlexafffund
Catherine Vanner

Bibliographic record

VenueGender and Education · 2025
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicMicrofinance and Financial Inclusion
Canadian institutionsUniversity of Windsor
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsTransformative learningGender studiesFeminismSociologyPedagogy

Abstract

fetched live from OpenAlex

Gender transformative education is a concept gaining ascendance, in part because of the advocacy of youth feminist activists, particularly members of the Transform Education transnational coalition. This article describes research using digital storytelling to study the experiences and recommendations of youth feminist activists who are members of Transform Education to depict how they understand gender transformative education. 12 participants from 11 countries in Africa and Asia explained their advocacy to enhance gender equity in and through education locally, nationally, and internationally. Their desire to rid education of gender-based violence and discrimination stems, for most, from harm personally experienced in education. The vision of gender transformative education they espouse centres feminist, intersectional, queer, anti-capitalist, and anti-colonial perspectives. They emphasize the importance of meaningful, diverse youth participation in developing new education systems that embrace radical change as necessary to create equitable schools and societies for people of all genders.

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)0.007
metaresearch head score (Gemma)0.005
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 score0.011
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.020
Scholarly communication0.0080.005
Open science0.0010.008
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0050.000

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 head0.027
GPT teacher head0.263
Teacher spread0.236 · 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

Citations1
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueGender and EducationSame topicMicrofinance and Financial InclusionFrench-language works237,207