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Record W4293872320 · doi:10.1177/01614681221121514

A Transgender Studies Approach for Educators in Schools: Reflections on “Cissexist Pitfalls,” Bifurcated Frameworks, and Racial Justice

2022· article· en· W4293872320 on OpenAlexafffund
Wayne Martino

Bibliographic record

VenueTeachers College Record The Voice of Scholarship in Education · 2022
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsWestern University
FundersSocial Sciences and Humanities Research Council of CanadaUniversity of Regina
KeywordsSociologyContext (archaeology)PedagogyCurriculumReflexivityCritical pedagogyTeacher educationEconomic JusticePoliticsTransgenderGender studiesSocial sciencePolitical scienceLaw

Abstract

fetched live from OpenAlex

Background/Context: Trans studies provides onto-epistemological, theoretical, ethical, and political frameworks that have a particular application for studies in education, and specifically for educators in schools, that remains largely unexplored or unelaborated. Within a context of resurgent right-wing extremism that fuels anti-trans and white supremacist rhetoric, trans studies provides analytic tools for deepening an understanding of gender expansive education and addressing gender and racial justice in schools. Purpose/Focus of Study: The purpose of this article is to illuminate the utility of trans-informed frameworks and the hermeneutic resources they provide in their potential to enhance and deepen an understanding of the pedagogical interventions in the classroom that are needed to educate about trans marginalization and racial justice. The focus is on the application of these frameworks, both with respect to fostering professional learning for educators in schools, and for my own pedagogy and course development. Research Design: In adopting a critical incident/critical reflexive practitioner approach, the author provides a sustained reflection on his own pedagogical practices and approach to curriculum development within the context of teaching a graduate course on gender and sexual diversity in schools. While such critical reflections emerged in response to one core critical incident, they are extended through an application of a trans studies approach to thinking through the scaffolded learning process for educators in the application of trans studies, and what this means for the sort of teacher threshold knowledges that are needed in schools for addressing gender and racial justice. Findings: Trans studies provides hermeneutic resources and analytic concepts that serve as tools for supporting teachers in reflecting on cissexist assumptions and how these materialize through their practice in the classroom. A concretization of what it means for teachers to enact a trans-studies-informed pedagogy requires a scaffolded approach and one that entails a weaving through of a critical and integrated focus on race, settler colonialism, and cissexism. Conclusions: The article highlights that there are certain limits to conceiving of a pedagogical commitment to interrogating gender binaries as a basis for addressing gender-expansive education in schools. The author concludes that such frameworks, in an absence of embracing a trans-informed approach to thinking about gender diversity and racial justice, run the risk of relying on a bifurcating categorization of trans students' identities that ignore fundamental questions related to the impact of cissexism and its implication in colonial domination and racialization.

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)0.060
metaresearch head score (Gemma)0.030
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.060
Threshold uncertainty score0.320

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0600.030
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.002
Science and technology studies0.0360.095
Scholarly communication0.0240.026
Open science0.0050.027
Research integrity0.0130.031
Insufficient payload (model declined to judge)0.0040.001

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 head0.130
GPT teacher head0.460
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 designTheoretical or conceptual
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

Citations10
Published2022
Admission routes2
Has abstractyes

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