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Challenging and Adverse Meditation Experiences

2019· book-chapter· en· W2971092514 on OpenAlexaff
Jared R. Lindahl, Willoughby B. Britton, D. James Cooper, Laurence J. Kirmayer

Bibliographic record

VenueOxford University Press eBooks · 2019
Typebook-chapter
Languageen
FieldSocial Sciences
TopicReligion, Spirituality, and Psychology
Canadian institutionsMcGill University
Fundersnot available
KeywordsMeditationNormativeContemplationPsychologyContext (archaeology)BuddhismQualitative researchPsychopathologyPsychotherapistSocial psychologyEpistemologyClinical psychologySociologySocial science

Abstract

fetched live from OpenAlex

Abstract Challenging meditation experiences have been documented in Buddhist literature, in psychological research, and in a recent qualitative study by the authors. Some of the central questions in the investigation of this topic are: How are meditation-related challenges to be interpreted or appraised? Through which processes are experiences determined to be expected or “normative” aspects of contemplative development versus undesirable “adverse effects” or psychopathology? And is it possible to differentiate or disambiguate the two? A review of available research suggests that distinguishing between experiences that are religious or mystical and those that indicate psychopathology depends on detailed knowledge of the specific contexts in which these experiences occur. Furthermore, research that specifically examines meditation-related challenges shows that interpretations, causal explanations, and recommended responses are often negotiated between practitioners and other people in their practice settings and larger social communities. This chapter considers some of the social dynamics of these appraisal processes and explores some of the consequences of adopting different appraisals. However, because there can be a lack of consensus around how experiences should be interpreted or appraised, a more useful question may be: What type of support does this particular experience require? Systematic attention to social context can both inform research on meditation-related challenges and provide guidance on the issues surrounding their appraisal and management in both clinical and non-clinical contexts.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.962
Threshold uncertainty score0.825

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.041
GPT teacher head0.280
Teacher spread0.239 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations29
Published2019
Admission routes1
Has abstractyes

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