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Record W2336313789

The Toronto and Philadelphia Mindfulness Scales: Associations with Satisfaction with Life and Health-Related Symptoms

2015· article· es· W2336313789 on OpenAlexaffabout
Rupert Klein, Sacha Dubois, Carrie Gibbons, Lana J. Ozen, Shawn Marshall, Nora Cullen, Michel Bédard

Bibliographic record

VenueDialnet (Universidad de la Rioja) · 2015
Typearticle
Languagees
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsLakehead University
Fundersnot available
KeywordsMindfulnessPsychologyClinical psychologyTraitMeditationChecklistQuality of life (healthcare)Life satisfactionAssociation (psychology)Scale (ratio)Psychotherapist
DOInot available

Abstract

fetched live from OpenAlex

The treatment efficacy of mindfulness for improved quality of life and health-related symptoms has reliably been found in the literature. Questionnaires have been developed to assess both state mindfulness (Toronto Mindfulness Scale, TMS) and trait mindfulness (Philadelphia Mindfulness Scale, PHLMS). The objective of this study was to directly compare state and trait mindfulness measures to self-reported satisfaction with life and health outcomes. Healthy adults (n= 28) completed self-report questionnaires assessing mindfulness, a Satisfaction with Life Scale and a health outcome measure (Symptom Checklist 90-revised) prior to and after undergoing a 10-week mindfulness meditation intervention program. Correlational analyses between the mindfulness measures and outcome measures clearly demonstrated the association between the PHLMS Acceptance subscale and reductions in symptom severity r(26)= -.46, p= .015. These results suggest that a trait mindfulness measure (i.e., PHLMS) can detect change in mindfulness that is associated with health outcome measures whereas the state-like mindfulness (i.e., TMS) did not.

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 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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.713
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.019
GPT teacher head0.295
Teacher spread0.277 · 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 teacher head, not a consensus.

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

Citations16
Published2015
Admission routes2
Has abstractyes

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