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Record W3013934131

Cultural Constructions of Trauma and the Therapeutic Interventions of Caribbean Healing Traditions

2017· dissertation· en· W3013934131 on OpenAlexaboutno aff
Patsy Sutherland

Bibliographic record

VenueTSpace · 2017
Typedissertation
Languageen
FieldHealth Professions
TopicCommunity Health and Development
Canadian institutionsnot available
Fundersnot available
KeywordsPsychological interventionAnthropologyPsychotherapistMedicineHistoryPsychologySociologyNursing
DOInot available

Abstract

fetched live from OpenAlex

The psychological literature indicates that integrating traditional healing practices into counselling and psychotherapy with Caribbean clients may address some of the mental health concerns of this population and the underutilization of mental health services. Traditional healing is often used in lieu of mental health services; however, the lack of knowledge of the precise therapeutic interventions and mechanisms of change that are key components to such integration limit its clinical utility. To address this gap in the literature, this study explored the specific ways in which Caribbean individuals conceptualize trauma and the therapeutic interventions of Caribbean healing traditions as a treatment modality. A constructivist grounded theory approach was implemented in the data collection and analysis. Ten adults of Caribbean heritage living in Toronto, who used the therapeutic interventions of Caribbean healing traditions, each participated in one semi-structured interview. Three overarching themes emerged from the data: experiencing trauma and suffering, explanations and meaning of trauma and suffering, and healing interventions. The study highlights the role of history and culture in shaping idioms of trauma, distress and healing, and contributes to both research and practice by offering a substantive framework for assessing, diagnosing and treating Caribbean clients, which may address the many challenges to mental health care for this population.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.135
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.194
GPT teacher head0.535
Teacher spread0.341 · 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 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

Citations4
Published2017
Admission routes1
Has abstractyes

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