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Youth-Based Gender, Sexuality, and Race Equity Work in Secondary Schools

2020· reference-entry· en· W3166986216 on OpenAlexaboutno aff
Megan S. Paceley

Bibliographic record

VenueOxford Research Encyclopedia of Education · 2020
Typereference-entry
Languageen
FieldSocial Sciences
TopicYouth Development and Social Support
Canadian institutionsnot available
Fundersnot available
KeywordsGender studiesHuman sexualityIntersectionalityOppressionEquity (law)SociologyPolitical sciencePolitics

Abstract

fetched live from OpenAlex

Youth have a rich history of engaging in activism and organizing within schools to promote equity based on gender, sexuality, and race. Youth equity work in secondary schools includes myriad activities: developing student-led clubs, such as gay-straight alliances (GSAs, also known as gender and sexuality alliances); advocating for inclusive policies, practices, and curriculum; engaging in direct action, such as protests; and developing individual and shared critical consciousness. Situated in the United States, Canada, and other countries, GSAs are a common way that youth have organized to promote equity and justice for youth with marginalized sexualities and genders; they have, however, been critiqued for their lack of inclusion of racially or ethnically marginalized students or attention to intersecting forms of oppression. Opportunities exist within research, education, and practice to understand and address the heterogeneity and intersectionality of GSA groups and members, examine and understand other forms of school-based activism from an intersectional perspective, and recognize and examine school-based equity work within the broader cultural, social, and political contexts that involve families and communities. Youth, teachers, and social workers engaged in equity work in schools must attend to intersectionality and center the needs of the most marginalized within their work.

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)0.005
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.745
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
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 head0.165
GPT teacher head0.444
Teacher spread0.279 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2020
Admission routes1
Has abstractyes

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