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Students Empowering Students Through Peer Mentorship: An Untapped Resource

2019· article· en· W2947426235 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.

Bibliographic record

VenuePapers on postsecondary learning and teaching. · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Practises and Engagement
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMentorshipResource (disambiguation)PsychologyMedical educationPedagogyMedicineComputer science

Abstract

fetched live from OpenAlex

Peer mentoring (PM) builds connections and promotes academic excellence by supporting students transitioning into higher education (Carragher & McGaughey, 2016). PM programs in nursing has also been reported to nurture nursing students’ professional identities (Lombardo, Wong, Sanzone, Filion, & Tsimicalis, 2017). Nursing students help their peers understand, critique, and resolve professional identity questions that arise throughout their undergraduate preparation (Price, 2009)..While a current PM committee within a Faculty of Nursing has successfully engaged the student body, it remains to be an untapped resource. Students with similar experiences can offer support regarding academics and provide important insight regarding the demands of the profession.An opportunity exists for peer mentors, mentees, and faculty members to become co-inquirers in exploring the nature of nursing and influence teaching and learning experiences in higher education. With students as drivers, PM has the potential to create a self-sustaining environment where strengthened and genuine student-teacher connections are privileged.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, 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 score0.824
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.021
GPT teacher head0.379
Teacher spread0.358 · 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