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Record W6987487827

Students at Work: Care work, Neoliberalism, and Survival in Precarious Times

2022· dissertation· en· W6987487827 on OpenAlexaboutno aff

Bibliographic record

VenueQSpace (Queen's University Library) · 2022
Typedissertation
Languageen
FieldSocial Sciences
TopicEmotional Labor in Professions
Canadian institutionsnot available
Fundersnot available
KeywordsFeminismCare workPerspective (graphical)Public policyNeoliberalism (international relations)Work (physics)Dynamics (music)Feminist theorySocial reproduction
DOInot available

Abstract

fetched live from OpenAlex

This research project examines the time use of undergraduate students at Queen’s University, a public university located on Anishinaabe and Haudenosaunee land in Ontario, Canada, with a focus on how much time they devote to care work. I argue that the university has become akin to a workplace, and students have accordingly become workers. This research is rooted in feminism theory and methodology, particularly intersectional feminist theory and social reproduction theory. I utilize time-use surveys and interviews to examine the potentially gendered and racialized dynamics of care work among students. I employ the feminist analytical approach of “studying up” by examining structural dynamics through the perspective of the everyday. I thus connect my findings to neoliberal theory and critique, its creation of so-called “life workers,” and the internalization of neoliberal discipline. I also discuss neoliberalism’s and the pandemic’s impact on care work and student time use overall. Finally, I use my interview findings to discuss structural issues at Queen’s University, and offer policy recommendations. I ultimately argue for the importance of centering care in a precarious world.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.581
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
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.009
GPT teacher head0.259
Teacher spread0.250 · 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 designObservational
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
Published2022
Admission routes1
Has abstractyes

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