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Record W4400895979 · doi:10.15354/si.24.co202

Could Mindful Meditation be a Routine Therapeutic Intervention in Practice?

2024· article· en· W4400895979 on OpenAlexaff
Jones Gupta

Bibliographic record

VenueScience Insights · 2024
Typearticle
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMeditationMindfulnessPsychotherapistPsychologyIntervention (counseling)AnxietyContext (archaeology)Psychological interventionMindfulness meditationVariety (cybernetics)CognitionClinical psychologyPsychiatryComputer science

Abstract

fetched live from OpenAlex

Although mindfulness meditation has become more and more well-liked as a therapeutic technique in recent years, it might not be appropriate for every person or situation. Although mindfulness meditation has been shown to be beneficial for reducing stress, anxiety, and depression, its effects may not be felt by all people. Furthermore, some people could find it challenging to practice mindful meditation because of a variety of obstacles, like attentional or cognitive impairments. It is pivotal to consider the unique demands of every client in a professional context and design interventions accordingly. It’s also critical to understand that, where appropriate, mindful meditation should be utilized in addition to other evidence-based therapies rather than being viewed as a one-size-fits-all remedy. Because of this, mindful meditation should not be used as the only therapeutic intervention in practice, even if it can be a useful tool in increasing mental well-being.

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)0.008
metaresearch head score (Gemma)0.035
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.035
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0020.005
Scholarly communication0.0030.004
Open science0.0010.001
Research integrity0.0070.005
Insufficient payload (model declined to judge)0.0050.002

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 head0.047
GPT teacher head0.407
Teacher spread0.360 · 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 designNot applicable
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
Published2024
Admission routes1
Has abstractyes

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