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Record W2497681082 · doi:10.1111/pcn.12425

Dissociative trance and spirit possession: Challenges for cultures in transition

2016· review· en· W2497681082 on OpenAlexaff
Vishal Bhavsar, Antonio Ventriglio, Dinesh Bhugra

Bibliographic record

VenuePsychiatry and Clinical Neurosciences · 2016
Typereview
Languageen
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsPopulation Health Research Institute
Fundersnot available
KeywordsTrancePossession (linguistics)DissociativeDissociative disordersPsychologyLimitingPsychotherapistSocial psychologySociologyPsychiatryAnthropologyPhilosophy

Abstract

fetched live from OpenAlex

The cross-cultural validity of dissociative possession and trance disorders is a matter of some debate, limiting research and meaningful interpretation of prevalence data. Intimate to these concerns is the status of spirit possession categories studied in the social sciences, particularly anthropology. These two categories are phenomenologically related and display similar epidemiological associations. In India, dissociative and conversion disorders are fairly common in clinical settings. There is no doubt that there are true cultural variations in possession and trance disorders. A new framework may enable clinicians to better understand possession states and spirit possession.

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)0.003
metaresearch head score (Gemma)0.005
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: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.003
Science and technology studies0.0010.003
Scholarly communication0.0030.006
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.096
GPT teacher head0.464
Teacher spread0.368 · 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
GenreReview

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

Citations49
Published2016
Admission routes1
Has abstractyes

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