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Record W3202481576 · doi:10.46425/c094301k913

Collective Poetry Making in the Poesis of Psychohistoriographic Cultural Therapy

2021· article· en· W3202481576 on OpenAlexaboutno aff
Frederick W. Hickling, Hilary Robertson-Hickling, Debbie-Ann Chambers

Bibliographic record

VenueCaribbean Journal of Education · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicArt Therapy and Mental Health
Canadian institutionsnot available
Fundersnot available
KeywordsPoetryScholarshipMental healthSociologyDiversity (politics)PsychologyArtPolitical scienceAnthropologyPsychotherapistLiteratureLaw

Abstract

fetched live from OpenAlex

Psychohistoriographic Cultural Therapy (PCT), pioneered in Jamaica in 1978, is a post-colonial model of group psychotherapy that privileges the use of the poetic to heal historical traumas. Embedded in PCT is a technique of collective poetry making. In this paper, the process is chronicled in five case studies: Madnificent Irations at the Bellevue Mental Hospital (Jamaica); Rethinking Cultural Diversity at the Cooperative Association of States for Scholarship (Georgetown University, Washington); Windows for Wavelengths at the Maudsley Hospital (London, UK); Identity and Achievement at the Afro-Caribbean Mental Health Centre (Wolverhampton, UK); and Mite de La Laine at the McGill University, (Montreal, Canada). An analysis of the PCT process and the collaborative poems created highlights how this model accelerates insight and resilience, confronts stigma, and facilitates rehabilitation and productivity.

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)0.005
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.018
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0180.065
Scholarly communication0.0090.004
Open science0.0010.006
Research integrity0.0020.004
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 head0.068
GPT teacher head0.335
Teacher spread0.267 · 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 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

Citations0
Published2021
Admission routes1
Has abstractyes

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