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Record W3139409397 · doi:10.1177/13634615211001701

Walking Corpse Syndrome: A trauma-related idiom of distress amongst Sri Lankan Tamils

2021· article· en· W3139409397 on OpenAlexafffund
William Affleck, Umaharan Thamotharampillai, Devon E. Hinton

Bibliographic record

VenueTranscultural Psychiatry · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicMental Health and Psychiatry
Canadian institutionsMcGill University
FundersCanadian Institutes of Health Research
KeywordsTamilDistressSri lankaFeelingMedicinePsychologyPsychiatryClinical psychologySouth asiaSocial psychologySociologyAnthropology

Abstract

fetched live from OpenAlex

This article introduces Walking Corpse Syndrome, a common idiom of distress in Tamil Sri Lanka that is characterized by a variety of cognitive difficulties, feelings that an individual is functioning reflexively or impulsively, and acute attacks of dissociation that are accompanied with the sensation of empty-headedness. Walking Corpse Syndrome demonstrates some overlap with Western nosology, although it appears to be its own unique illness category, most likely of Ayurvedic provenance. The article comprises two studies. One is a secondary interview analysis of community members that aimed to identify the key symptoms of Walking Corpse Syndrome, allowing us to determine the local ethnopsychology of the syndrome and to elicit illustrative vignettes. The other study is a survey of Sri Lankan Tamil psychiatrists that aimed to investigate their understanding and experience of the disorder. This article outlines how, in certain cultural contexts, such syndromes emphasise the loss of attentional capacity and forgetfulness; it highlights the importance of "thinking a lot" as an idiom across cultures; and it details the many ways that Walking Corpse Syndrome is a key idiom of distress to assess in order to give adequate mental healthcare to Sri Lankan Tamil populations.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.683
Threshold uncertainty score1.000

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.244
Teacher spread0.225 · 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.

Study designTheoretical or conceptual
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

Citations11
Published2021
Admission routes2
Has abstractyes

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