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Record W4413952104 · doi:10.4324/9781003517085-7

Trans Precarity under Conditions of Resurgent Far-right Extremism in Pedagogical and Campus Spaces

2025· book-chapter· en· W4413952104 on OpenAlexaboutno aff
Jennifer Ingrey, Wayne Martino, Malcolm N. MacDonald

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicAnarchism and Radical Politics
Canadian institutionsnot available
Fundersnot available
KeywordsPrecarityFar rightSociologyPolitical scienceCriminologyGender studiesLawPolitics

Abstract

fetched live from OpenAlex

This chapter focuses on our own experiences in the academy to reflect on how the current context of anti-trans backlash manifests in our everyday lives working and studying in a Faculty of Education. We situate our experiences within a Trans Studies informed analysis of the conditions of intensified trans precarity and the demands they place on questions pertaining to safety in the classroom and on campus for trans and queer students. We focus on our own experiences in the classroom and also in conducting research with trans students on campus to illuminate how an emboldened expression and enactment of anti-trans hate outside of the university context is seeping into pedagogical spaces, which speaks to the diffuseness of such anti-trans rhetoric that crosses national borders. Indeed, it is the weaponization of transphobia that is supported by white supremacist groups that has materialized in campus spaces, which grounds the empirical basis of the critical insights that we share in this chapter. We expose the necropolitical conditions underscoring these encounters to shed light on the material manifestation of a resurgent far-right extremism as a networked political system of what Kallis refers to as “banal fascism”—a system with a particular cis White Nationalist fervor and influence for us in Canada emanating from the epicenter of the US where the propagation of conspiracy theories and post-truth proliferate and suffuse our everyday lives in the university as educators and researchers.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.520
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 studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.071
GPT teacher head0.361
Teacher spread0.290 · 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 designTheoretical or conceptual
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

Citations0
Published2025
Admission routes1
Has abstractyes

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