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Record W2114539629 · doi:10.1080/2159676x.2015.1099562

Cultivating focus: insights from dedicated yoga practice and the implications for mental health and well-being

2015· article· en· W2114539629 on OpenAlex
Tanya Halsall, Penny Werthner, Tanya Forneris

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

VenueQualitative Research in Sport Exercise and Health · 2015
Typearticle
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsUniversity of CalgaryUniversity of Ottawa
Fundersnot available
KeywordsThematic analysisMental healthFocus groupPsychologyFocus (optics)Applied psychologyWell-beingQualitative researchMedical educationMedicinePsychotherapistSociology

Abstract

fetched live from OpenAlex

Yoga has demonstrated some promising impacts on mental health and well-being. The ability to focus is a possible mechanism through which yoga practice influences mental health and well-being. Furthermore, there are relatively few empirical studies that have explored the experience of maintaining focus or the process of developing this capacity within yoga. This study explored focus in terms of its development within the practice of yoga. The two objectives of the study were: (1) to examine the experience of focus in individuals with extensive accumulated practice, and (2) to learn how they developed this ability to focus. Eight participants were selected based on duration and frequency of their practice. Two one-hour interviews were conducted with each participant in a semi-structured format and qualitative thematic analysis was used. The findings are discussed within two main themes: the practice and the nature of yogic awareness. Results are discussed in relation to the enhancement of mental health and well-being, and future directions are recommended.

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)0.008
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.477
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.277
GPT teacher head0.584
Teacher spread0.306 · 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