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Record W4412752275 · doi:10.1080/15426432.2025.2537673

Toward a reflective and embodied approach to spirituality in social work education

2025· article· en· W4412752275 on OpenAlexaff
Lea Tufford

Bibliographic record

VenueJournal of Religion & Spirituality in Social Work Social Thought · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Spirituality, and Psychology
Canadian institutionsLaurentian University
Fundersnot available
KeywordsEmbodied cognitionSpiritualitySocial workSociologyReflective practiceWork (physics)PsychologyPedagogyEpistemologyPolitical scienceEngineeringMedicinePhilosophy

Abstract

fetched live from OpenAlex

The past three decades have witnessed the growing recognition that spirituality is a fundamental component of social work practice and an essential part of the lives and well-being of service users. Given its rising predominance, social work education offers students an opportunity to explore their own sense of spirituality in addition to processing service users’ concerns of a spiritual nature. These explorations can surface feelings of uncertainty, confusion, and dysregulation for social work students who may lack the skills to process complex and conflicted emotions related to spirituality or meaning-making. This conceptual article outlines how mindfulness and embodiment can be used as sources of reflective practice with graduate social work students in an advanced, direct practice course to diminish emotional dysregulation when faced with spiritual concerns. In the practice component of the course, students work with a Standardized Client around a case vignette where spirituality is integrated and where they can utilize the contemplative practices of mindfulness and embodiment. Implications for social work educators are offered.

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)0.014
metaresearch head score (Gemma)0.009
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 score0.014
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0060.030
Scholarly communication0.0110.007
Open science0.0020.012
Research integrity0.0030.010
Insufficient payload (model declined to judge)0.0030.001

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 head0.059
GPT teacher head0.405
Teacher spread0.346 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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