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Record W4207022862 · doi:10.1080/13611267.2022.2030187

Owning the conversation: mentor and mentee perceptions of student-led peer mentoring

2022· article· en· W4207022862 on OpenAlex
Katherine Lyon, Heather Holroyd, Nicole Malette, Kerry Greer, Silvia Bartolic

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.

Bibliographic record

VenueMentoring & Tutoring Partnership in Learning · 2022
Typearticle
Languageen
FieldPsychology
TopicMentoring and Academic Development
Canadian institutionsUniversity of British Columbia HospitalUniversity of British Columbia
Fundersnot available
KeywordsConversationPeer mentoringFocus groupPerceptionMedical educationPedagogyPeer groupFacilitationPsychologyPublic relationsPolitical scienceSociologyMedicineSocial psychology

Abstract

fetched live from OpenAlex

Most peer-mentoring research examines structured programs with faculty or staff facilitation, overlooking programs that are student-initiated and student-led. We present data from focus groups with participants of a student-led peer-mentoring program at a large North American University. This case study addresses two research questions: 1) how do peer mentors and mentees perceive the student-led nature of the program? and 2) what institutional assistance do participants expect for their program? Findings demonstrate the value students place in the program being student-led and why it is important for this type of programming to be decoupled from institutional interests. We also outline three ways in which institutional support that does not infringe upon student-led directives can be provided.

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)0.006
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: Empirical
Teacher disagreement score0.519
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.050
GPT teacher head0.360
Teacher spread0.310 · 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