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Record W2946417313

A Qualitative Inquiry into the Impact of an Arts-Based, Self-Portrait Assignment on Third Year Child and Youth Care Students

2018· article· en· W2946417313 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

VenueStudent Research Proceedings · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicTeacher Education and Leadership Studies
Canadian institutionsMacEwan University
Fundersnot available
KeywordsPortraitThe artsMainstreamScholarshipPedagogyVisual arts educationPsychologySociologyMathematics educationMedical educationVisual artsArtMedicinePolitical science
DOInot available

Abstract

fetched live from OpenAlex

A growing body of research shows that arts-based teaching and learning has the power to energize and promote student engagement by increasing opportunities for students to articulate their learning in many different ways. It is particularly effective for students who tend to struggle with the fast-paced and highly structured nature of mainstream education, which favours primarily cognitive and verbal forms of teaching and assessment. This study contributes to the scholarship of teaching and learning (SoTL) by reporting on the learning experiences of third-year child and youth care (CYC) students involved in an arts-based self-portrait assignment. Discipline: Child and Youth Care Faculty Mentor: Dr. Gerard Bellefeuille

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.094
Threshold uncertainty score0.945

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 studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.407
GPT teacher head0.622
Teacher spread0.215 · 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