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Record W7133001127

The University of Ottawa Students’ Union Revolution

2024· dissertation· W7133001127 on OpenAlexfundaboutno aff
Justin Patrick

Bibliographic record

VenueTSpace · 2024
Typedissertation
Language
FieldSocial Sciences
TopicHigher Education Practises and Engagement
Canadian institutionsnot available
FundersUniversity of Ottawa
KeywordsGovernmentalityNeoliberalism (international relations)ReferendumPoliticsGovernment (linguistics)Power (physics)Context (archaeology)Corporate governance
DOInot available

Abstract

fetched live from OpenAlex

In 2019, following about four years of sustained student activism against alleged student government malpractice, University of Ottawa undergraduate students voted in a referendum to replace their student government, the Student Federation of the University of Ottawa (SFUO), with a new one, the University of Ottawa Students’ Union (UOSU). To explore the implications of this unprecedented event in Canadian politics and education, perspectives from semi-structured interviews of 22 former students who were part of the movement advocating for change and student journalists who reported on what happened are analyzed. Foucauldian understandings of power relations and governmentality are applied to illustrate how the pervading impacts of neoliberalism can gradually erode governance practices of student governments and other power regimes built around progressive goals to the point where their foundational purposes are compromised. Potential ways to work toward alleviating this problem involve recognizing the inherent consequential political nature of student politics, recognizing the student as subaltern in the context of education micropolitics, and developing policy changes to recognize student government as a level of government.

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)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.089
Threshold uncertainty score0.647

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0300.015
Scholarly communication0.0120.002
Open science0.0010.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0120.001

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 head0.029
GPT teacher head0.395
Teacher spread0.365 · 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 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

Citations0
Published2024
Admission routes2
Has abstractyes

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