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Record W2915940575 · doi:10.1177/0008417419828798

Challenges in enacting occupation-based social transformative practices: A critical dialogical study

2019· article· en· W2915940575 on OpenAlexfundvenueno aff
Lisette Farías, Debbie Laliberté Rudman

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2019
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsnot available
FundersOntario Trillium Foundation
KeywordsDialogical selfTransformative learningSociologyOccupational scienceSocial justiceGender studiesPsychologyOccupational therapySocial psychologyPedagogySocial science

Abstract

fetched live from OpenAlex

BACKGROUND.: Globally, occupational therapists are taking up the transformative potential of occupation to mobilize the profession's commitment to social change. PURPOSE.: This study examined ideal constructions of occupation-based social transformative practices and challenges that may arise when enacting these practices. METHOD.: Five participants with experiences developing practices aligned with social transformative goals in diverse locations were recruited. In this critical dialogical study, three dialogical interviews were conducted with each participant. Critical reflexivity was enacted through the exchange of transcripts and critical reflections with participants. A critical discourse analysis was conducted to examine how such practices are shaped within discourses and other contextual features. FINDINGS.: The findings address constructions of ideal practice and three threads that provide critical insights into ways discourses shape possibilities to enact social transformation through occupation. IMPLICATIONS.: This study brings together experiential and theoretical knowledge to advance social transformative practices by problematizing underexamined discourses in occupational therapy.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.642
GPT teacher head0.589
Teacher spread0.053 · 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 designObservational
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

Citations35
Published2019
Admission routes2
Has abstractyes

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