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Record W3023972035 · doi:10.1163/25888803-bja10003

University Managed Minds: The Colonial Reproduction of Students as Mental Health Problems

2020· article· en· W3023972035 on OpenAlexaffabout
Tanya Titchkosky, Madeleine De Welles

Bibliographic record

VenueJournal of Disability Studies in Education · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Education and Societal Dynamics
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsColonialismMental healthTask (project management)Power (physics)Orientation (vector space)ReproductionSociologyPsychologyGender studiesPolitical sciencePsychiatryLawManagementEcology

Abstract

fetched live from OpenAlex

Abstract This paper, informed by disability studies and de-colonial theory, examines the appearance of the counselling paradigm in the University of Toronto administrative archive. We begin from the assumption that an administrative treatment of the general student body as potentially disordered is a disabling orientation which makes student difficulties into individual problems to be managed through a mental health orientation. We show how this form of human resource management through the mental health regime is essentially tied to the “coloniality of power” as theorized by Mignolo. Such an analysis allows us to uncover the colonial machine from which the Modern University sprung as it remains hidden in place. We theorize how these mental health programs developed through the coloniality of our past are very much part of our present making the student body always potentially disabled and thus an administrative task to be governed while perpetuating Eurocentric ways of knowing, governing, and being.

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)0.003
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.987
Threshold uncertainty score0.147

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0130.053
Scholarly communication0.0110.004
Open science0.0010.012
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.065
GPT teacher head0.433
Teacher spread0.368 · 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.

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

Citations3
Published2020
Admission routes2
Has abstractyes

Explore more

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