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Record W4405213681 · doi:10.26522/ssj.v18i4.4290

Feminist Reading Together in a Different Register

2024· article· en· W4405213681 on OpenAlexaffvenue
Michelle Forrest, Suzanne M. McCullagh, Ian Reilly

Bibliographic record

VenueStudies in Social Justice · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCritical Race Theory in Education
Canadian institutionsAthabasca UniversityMount Saint Vincent University
Fundersnot available
KeywordsSubjectivityUndoingReading (process)PraxisSociologyColonialismRegister (sociolinguistics)NarrativeGender studiesEconomic JusticeEpistemologyPolitical sciencePsychologyLinguisticsLawPhilosophyPsychoanalysis

Abstract

fetched live from OpenAlex

In this paper we reflect upon our multi-year reading group as a site of decolonial feminist praxis that motivates reading in a different register from how we were trained to read as academics in the humanities. In collaborative study we willingly open ourselves to change, to being worked on by one another and by the texts we read. Our reading together has initiated the undoing of settler colonial academic subjectivity and the co-creation of new forms of scholarly subjectivity grounded in relations of care, openness to transformation, and a growing commitment to epistemic justice. In giving an account of our group history and process we reflect on our complicities with settler-colonialism in the university and consider the ways that reading together has cultivated our capacities to listen to counter-narratives, formulate institutional and self critique, and engage in epistemic reparations.

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)0.009
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.022
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.014
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0220.028
Scholarly communication0.0140.014
Open science0.0020.012
Research integrity0.0050.011
Insufficient payload (model declined to judge)0.0200.002

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 head0.103
GPT teacher head0.498
Teacher spread0.395 · 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 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

Citations2
Published2024
Admission routes2
Has abstractyes

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