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Record W3210440099 · doi:10.1177/00084174211051168

The Concept of Oppression and Occupational Therapy: A Critical Interpretive Synthesis

2021· article· en· W3210440099 on OpenAlexvenueno aff
Elizabeth Pooley, Brenda L. Beagan

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2021
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsnot available
Fundersnot available
KeywordsOppressionPraxisOccupational scienceInjusticeRacismOccupational therapySociologyHeterosexismIndividualismSocial psychologyGender studiesPsychologyPoliticsEpistemologyPolitical scienceHomosexuality

Abstract

fetched live from OpenAlex

Background. Occupational therapy and occupational science literature include growing attention to issues of justice, marginalization, and rights. In contrast, the concept of oppression has scarcely been employed. Purpose. This paper investigates how adding the concept of oppression may enhance occupational therapy approaches to injustice, prioritizing a focus on structural causes, and facilitating conscientious action. Method. A critical interpretive synthesis explored insights from authors who name oppressions in occupational therapy and occupational science literature. In total, a sample of 28 papers addressing oppression, ableism, ageism, classism, colonialism, heterosexism, racism, and/or sexism was selected for inclusion. Findings. Four themes were identified: oppression and everyday doing; effects of structures and power; responding and resisting; and oppression within occupational therapy. Implications. Incorporating oppression within the plurality of social discourse may help occupational therapists to avoid individualistic explanations, attend to relationships between social structures and constrained occupations, frame intersectional analysis, and engage in praxis.

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)0.064
metaresearch head score (Gemma)0.090
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.064
Threshold uncertainty score0.339

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0640.090
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0210.014
Science and technology studies0.0110.030
Scholarly communication0.0200.012
Open science0.0030.007
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0020.000

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 head0.245
GPT teacher head0.521
Teacher spread0.276 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations26
Published2021
Admission routes1
Has abstractyes

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