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Record W2754335276 · doi:10.20448/804.2.1.43.64

Building a Child and Youth Care Culture of Relational-Centred Praxis: Ours to Make

2017· article· en· W2754335276 on OpenAlexaff
Gerard Bellefeuille, Rebecca Stiller, Stephen Neuman, Jack Deol, Cole Smith, Mackenzie Brown, Holly Gautreau, Andrea Diduch

Bibliographic record

VenueAmerican Journal of Education and Learning · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCollaborative Teaching and Inclusion
Canadian institutionsUniversity of VictoriaMacEwan University
Fundersnot available
KeywordsPraxisPremisePedagogyCompetence (human resources)SociologyPsychologyEpistemologyEngineering ethicsSocial psychologyEngineering

Abstract

fetched live from OpenAlex

Our purpose here is to draw upon the insights, perspectives, and ideas we have acquired in life and in our professional practice experiences as child and youth care (CYC) students, practitioners, and educators so we can frame a much needed discussion about the concept of praxis as considered from a relational ontological perspective. Our premise is that to truly fulfil the vision of being a relational-centred profession grounded in the core values and principles of trust, fairness, integrity, honesty, caring, tolerance, and respect for diversity and equality, CYC practitioners must reach deeper into the nuance of the concept of praxis to fully grasp its meaning from a relational-centred perspective. Thus, we present the case that a teaching and learning pedagogy that encourages critical thinking and promotes relational-centred praxis is more likely to bring about the deep learning and self-refection CYC practitioners must acquire to generate the inspiration, confidence, competence, and moral courage necessary to act as transformational leaders in the field.

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)0.033
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.033
Threshold uncertainty score0.174

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0330.024
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0170.045
Scholarly communication0.0240.025
Open science0.0030.035
Research integrity0.0050.020
Insufficient payload (model declined to judge)0.0040.001

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 head0.017
GPT teacher head0.344
Teacher spread0.327 · 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 designTheoretical or conceptual
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

Citations4
Published2017
Admission routes1
Has abstractyes

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