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Record W4411583362 · doi:10.17161/gjcpp.v12i3.20638

Dialogues of Disruption: Confronting Oppression in the Academy

2021· article· en· W4411583362 on OpenAlexaffabout
Ciann Wilson, Amandeep Singh, Ann Marie Beals, Rajni Sharma, Brianna Hunt, Ellis Furman, Natasha Afua Darko, Tiyondah Fante-Coleman, V. Liu, Natalie Kivell

Bibliographic record

VenueGlobal Journal of Community Psychology Practice · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicCritical Race Theory in Education
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsOppressionSociologyEngineering ethicsPolitical scienceEngineeringLawPolitics

Abstract

fetched live from OpenAlex

Within academia in recent years, there has been a concerted effort to re-center the perspectives and rights to free speech of the status quo at the expense of the safety and wellbeing of queer, trans, racialized, and Indigenous communities. Historically, critical race scholars have identified the centering of freedom of speech as an exercise by the old-guard in white supremacist culture to repurpose and repackage language about political freedoms in an effort to retain white settler control of a society that has long outgrown stunted ideologies about binary gender norms, and the continued oppression of Black, Indigenous, and racialized communities. Through our hard-fought lessons learned from often painful lived experiences as queer, trans, and Black, Indigenous, People of Colour (BIPOC) scholars and activists, this paper aims to: 1) Archive and document the testimonies and experiences of multiply-marginalized students and emergent faculty in the field of community psychology in a mid-sized Canadian university; 2) Utilize critical and intersectional analyses in unpacking the layers of violence and harm expressed and experienced through case examples; 3) Use our experiences to share strategies on the successful navigation of white supremacy in the academic spaces in which we work and learn; and 4) Call academic disciplines, including community psychology, to action by identifying their ethical responsibility to cultivate non-violent spaces for BIPOC people.

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)0.010
metaresearch head score (Gemma)0.018
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.393
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.128
GPT teacher head0.534
Teacher spread0.406 · 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 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

Citations4
Published2021
Admission routes2
Has abstractyes

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