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Record W3032334060 · doi:10.15173/ijsap.v4i1.4093

Holding space and engaging with difference: Navigating the personal theories we carry into our pedagogical partnership practices

2020· article· en· W3032334060 on OpenAlexaffvenue
Chris Ostrowdun, Rayna Friendly, Kelly Matthews, Alise de Bie, Frits Roelofs

Bibliographic record

VenueInternational Journal for Students as Partners · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Practises and Engagement
Canadian institutionsMcMaster UniversityUniversity of Calgary
Fundersnot available
KeywordsGeneral partnershipPraxisSpace (punctuation)Function (biology)SociologyInterdependencePublic relationsNarrativeNature versus nurturePedagogyPolitical scienceSocial scienceComputer science

Abstract

fetched live from OpenAlex

Partnerships between students and faculty are increasingly established within higher education. Everyone’s unique life story or background influences how they understand partnership praxis. Acknowledging individual understandings of student-faculty partnership matters because personal stories can influence how such partnerships form, function, and evolve. We, as students and faculty, share our individual theories of partnership to illuminate differing ways people can make sense of partnership as praxis. Using a reflective, autoethnographic research approach, we unpack two interdependent threads from our narratives: (a) holding space for how personal histories shape the experience of partnership and (b) engaging the messiness of partnership. To understand and nurture inclusive practices, we contend, means engaging the unique standpoints and social positions that both students and faculty bring into partnerships. Instead of attempting to collapse and converge different perspectives of partnership, we take pause to consider how these differences can enrich partnerships and be honoured throughout a 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.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.261
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.242
GPT teacher head0.604
Teacher spread0.362 · 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 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

Citations5
Published2020
Admission routes2
Has abstractyes

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