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Record W4390112736 · doi:10.29173/isotl689

Students-as-Partners versus Students-as-Employees: Division of Labour between Students, Faculty, and Staff in the McMaster Student Partners Program

2023· article· en· W4390112736 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueImagining SoTL · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Practises and Engagement
Canadian institutionsMcMaster University
FundersMcMaster University
KeywordsGeneral partnershipMedical educationPsychologyPedagogyWork (physics)MedicinePolitical scienceEngineering

Abstract

fetched live from OpenAlex

Many post-secondary institutions have implemented students-as-partners frameworks to redefine traditional educational practices and value students as co-creators of knowledge. The aim of this study was to investigate the degree to which students are working as partners and co-creators of knowledge with faculty and staff, versus replicating traditional hierarches. Herein, we undertook a multi-methods study consisting of a secondary analysis and a survey of one cohort of the student-as-partners program at McMaster University, as well as qualitative interviews. We found that some languages practices replicated traditional hierarchies, which was reflected in the degree to which partners contributed intellectually to the work undertaken. However, we also found meaningful shifts in practices occurred over the course of working collaboratively to foster more equitable partnerships. Herein, faculty and staff bore the responsibility of sharing power with student partners, but the blurring of professional and personal boundaries complicated the ethics of partnership.

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.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.274
Threshold uncertainty score0.875

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0020.001
Research integrity0.0000.000
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 head0.116
GPT teacher head0.548
Teacher spread0.432 · 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