MétaCan
Menu
Back to cohort
Record W2995846527

Integrating Yoga and Counselling: A Phenomenological Exploration of the Client Experience

2019· article· en· W2995846527 on OpenAlexvenueno aff
Samantha Beveridge, Marla J. Buchanan

Bibliographic record

VenueCanadian Journal of Counselling and Psychotherapy · 2019
Typearticle
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsPsychotherapistExtant taxonAffect (linguistics)Inclusion (mineral)Interpretative phenomenological analysisPsychologyPhenomenological methodQualitative researchMedical educationMedicineSocial psychologySociologyEpistemology
DOInot available

Abstract

fetched live from OpenAlex

Yoga is a widely utilized practice with extensive research demonstrating its benefits. Dually certified counsellors are increasingly integrating yoga into their practice. Given the paucity of research examining this integrative therapy approach, a phenomenological investigation was designed to explore and describe the lived experiences of clients engaged in this therapeutic approach. 6 clients described their experience of counselling that integrated yoga through in-depth qualitative interviews. 5 main themes emerged: (a) yoga components; (b) counselling components; (c) structure of the integration of yoga and counselling components; (d) counsellor’s way of being matters; and (e) inclusion of yoga in counselling facilitates processes, including bottom-up processing, affect regulation, affect tolerance, and a whole-person approach. The findings are examined considering the extant literature on the integration of yoga and counselling. Recommendations for the inclusion of yoga in counselling practice and implications for future research are discussed.

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)0.004
metaresearch head score (Gemma)0.010
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 score0.010
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0100.009
Scholarly communication0.0050.003
Open science0.0020.005
Research integrity0.0030.005
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 head0.046
GPT teacher head0.311
Teacher spread0.266 · 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

Citations2
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal of Counselling and PsychotherapySame topicMindfulness and Compassion InterventionsFrench-language works237,207