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Record W2515237462 · doi:10.1177/1539449216665561

Illustrating the Importance of Critical Epistemology to Realize the Promise of Occupational Justice

2016· article· en· W2515237462 on OpenAlexafffund
Lisette Farías, Debbie Laliberté Rudman, Lílian Magalhães

Bibliographic record

VenueOTJR Occupational Therapy Journal of Research · 2016
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsWestern University
FundersOntario Trillium Foundation
KeywordsTransformative learningScholarshipReflexivityPositivismSociologyEpistemologyCritical theoryEconomic JusticeSocial sciencePolitical scienceLawPedagogyPhilosophy

Abstract

fetched live from OpenAlex

This article argues that it is vital to embrace critical reflexivity to interrogate the epistemological beliefs and principles guiding occupation-based scholarship to move away from frameworks that are incongruent with calls for occupational justice. For this purpose, we describe an epistemic tension between the stated intentions to demonstrate that occupation-based work can be a means to create a more just society and the epistemological beliefs that have historically dominated occupation-based scholarship. To exemplify the potential implications of this tension, a critical analysis of Creswell's social justice/transformative design is presented, illustrating that work that expresses a commitment to social justice while relying on positivist/postpositivist assumptions often risks perpetuating injustices through neglecting their sociopolitical construction. Drawing upon critical social theory, we highlight how engagement with critical epistemological assumptions can facilitate addressing the sociopolitical "roots" of occupational injustices and highlight directions for social transformation.

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)0.047
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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.047
Threshold uncertainty score0.250

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0470.033
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.002
Science and technology studies0.0190.148
Scholarly communication0.0260.027
Open science0.0030.017
Research integrity0.0070.013
Insufficient payload (model declined to judge)0.0040.001

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 head0.466
GPT teacher head0.627
Teacher spread0.161 · 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

Citations95
Published2016
Admission routes2
Has abstractyes

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