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Record W2341069516 · doi:10.1177/0308022614564170

Respecting global wisdom: Enhancing the cultural relevance of occupational therapy’s theoretical base

2015· article· en· W2341069516 on OpenAlexaff
Karen Whalley Hammell

Bibliographic record

VenueBritish Journal of Occupational Therapy · 2015
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsEthnocentrismOccupational therapyDiversity (politics)Cultural diversityRelevance (law)SociologyPsychologyEnvironmental ethicsPolitical scienceSocial psychologyLawAnthropology

Abstract

fetched live from OpenAlex

Dominant models of occupation that inform the international occupational therapy profession have been delineated predominantly by able-bodied, middle class, middle-aged, white, urban, North American Anglophone academics with Judeo-Christian backgrounds, thus reflecting the culturally-specific perspectives of a global minority. Because these models exclude priorities and occupations valued by the global majority, they are demonstrably inadequate. This opinion piece highlights the imperative of incorporating the wisdom of a diversity of global peoples into occupational therapy’s theories of occupation to enhance the possibility that the profession’s theories and practices will be culturally relevant, safe and inclusive, rather than ethnocentric, imperialistic and potentially irrelevant.

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)0.037
metaresearch head score (Gemma)0.033
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.037
Threshold uncertainty score0.197

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0370.033
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.001
Science and technology studies0.0110.054
Scholarly communication0.0220.016
Open science0.0020.030
Research integrity0.0040.009
Insufficient payload (model declined to judge)0.0030.001

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 head0.284
GPT teacher head0.522
Teacher spread0.239 · 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 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

Citations24
Published2015
Admission routes1
Has abstractyes

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