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Record W4392522629 · doi:10.54922/ijehss.2024.0646

HOW CHILD AND YOUTH-CARE STUDENTS UNDERSTAND AND COMMUNICATE THE MEANING OF RELATIONAL-CENTERED PRACTICE: AN EXPLORATORY, QUALITATIVE COURSE-BASED INQUIRY

2024· article· en· W4392522629 on OpenAlexaff
A. Schroeder, Glynnis Dugan, Kendal Fetter, Toya Richards, Gerard Bellefeuille

Bibliographic record

VenueInternational Journal of Education Humanities and Social Science · 2024
Typearticle
Languageen
FieldPsychology
TopicCounseling Practices and Supervision
Canadian institutionsMacEwan University
Fundersnot available
KeywordsCourse (navigation)Meaning (existential)Qualitative researchExploratory researchPsychologyMathematics educationPedagogyMedical educationSociologyMedicinePsychotherapistEngineeringSocial science

Abstract

fetched live from OpenAlex

This course-based research study explored how child and youth-care (CYC) students understand and communicate the meaning of relational-centered CYC practice.Methodological triangulation was employed, with three concurrent data-collection methods.Participants were given the choice to complete an online survey via email, participate in a Zoom video interview, or participate in a face-to-face focus group.While all three options involved the same set of open-ended questions, the focus group included the added feature of a word-cloud activity and an arts-based "gingerbread man" activity.Thematic analysis resulted in the identification of four main themes: (a) creative artistry, (b) growth through connection, and (c) intentional presence.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.011
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.012
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0070.010
Scholarly communication0.0060.003
Open science0.0020.006
Research integrity0.0020.003
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 head0.228
GPT teacher head0.485
Teacher spread0.258 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2024
Admission routes1
Has abstractyes

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