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Record W3091864277 · doi:10.1177/2158244020963563

“We Are All Alive . . . But Dead”: Cultural Meanings of War Trauma in the Tamil Diaspora and Implications for Service Delivery

2020· article· en· W3091864277 on OpenAlexaffabout
Pushpa Kanagaratnam, J Anneke Rummens, Brenda TonerVA

Bibliographic record

VenueSAGE Open · 2020
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsToronto Metropolitan UniversitySt. Michael's HospitalToronto East General HospitalUniversity of TorontoCentre for Addiction and Mental Health
Fundersnot available
KeywordsDiasporaTamilRefugeeContext (archaeology)Mental healthSociologyTraumatic stressGender studiesPsychologyHistoryPolitical sciencePsychiatryLaw

Abstract

fetched live from OpenAlex

Providing culturally appropriate mental health services to war-affected refugees residing in the West continues to pose many challenges. Gaining firsthand knowledge from the refugee communities themselves is crucial to improving our knowledge and guiding our interventions. The purpose of this study is to understand perceptions of war trauma in the Tamil diaspora. Fifty-one Sri Lankan Tamils living in the Greater Toronto Area, Canada, were interviewed. Transcripts were thematically analyzed using content analysis. Findings indicate that war trauma is not viewed by the diaspora as a pathological notion. Positioned within a moral context, and independent from isolated events of war, manifestations of war trauma were discussed at an interpersonal and collective level. Diagnostic categories, including post-traumatic stress disorder (PTSD), do not seem to fully capture the breadth of war trauma in this diaspora community. Implications for service delivery, and for incorporating the unique aspects of suffering resulting from a fragmented community, are discussed.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.719
Threshold uncertainty score0.660

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)0.0000.000

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 head0.092
GPT teacher head0.360
Teacher spread0.268 · 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 designQualitative
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

Citations15
Published2020
Admission routes2
Has abstractyes

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