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Record W4403429570 · doi:10.15173/ijsap.v8i2.5785

Research partnerships as transformational learning experiences

2024· article· en· W4403429570 on OpenAlexaffvenue
Allison Tucker, Bailey Chitty

Bibliographic record

VenueInternational Journal for Students as Partners · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicAdult and Continuing Education Topics
Canadian institutionsSt. Francis Xavier University
Fundersnot available
KeywordsTransformational leadershipPsychologySocial psychology

Abstract

fetched live from OpenAlex

A common partnership between faculty and students in post-secondary education is that of researcher as a primary investigator (PI) and research assistant (RA). In this reflective essay, we examine an unconventional research partnership between Allison, a PI, and Bailey, an RA. Our experiences as PI and RA prompted us to reflect upon our learning partnership. We asked: In what ways might the role of RA be transformative (Mezirow, 1994) in teacher education for both researcher and student when it is approached through partnership? This partnership is unique because of its relational approach, where the PI and the RA collaborated in making decisions about the direction of the RA work. The RA’s perspective offered a different viewpoint on the research focus through which the researcher aimed to gain insights. This approach altered the dynamics of the research partnership, which evolved along the lines of both partners acting as equal contributors and co-learners through the research process. In this paper, we reflect on our consequential learning. Specifically, we focus on the learning that occurred when Bailey self-directed RA work on the topics of radical imagination, restorative justice, and appreciative inquiry, as well as the insights Allison gained through Bailey’s work. We use “I” in our respective sections and “we” and “our” in our collective writing, and we also refer to ourselves in the third person for clarity when needed.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.768
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.155
GPT teacher head0.635
Teacher spread0.480 · 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 designNot applicable
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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