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Record W2031896566 · doi:10.2182/cjot.2012.79.5.7

Exploring occupational justice in consumer perspectives on assistive technology

2012· article· en· W2031896566 on OpenAlexfundvenueno aff
Sajay Arthanat, C. Douglas Simmons, Megan Favreau

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2012
Typearticle
Languageen
FieldHealth Professions
TopicAssistive Technology in Communication and Mobility
Canadian institutionsnot available
FundersDirectorate-General for Justice and ConsumersDalhousie University
KeywordsOccupational therapyEconomic JusticeInjusticeEmpowermentAlienationPsychologyOccupational scienceConceptual frameworkApplied psychologyPublic relationsSocial psychologySociologyPolitical science

Abstract

fetched live from OpenAlex

BACKGROUND: Occupational justice is an emerging paradigm in the provision of occupational therapy services. Assistive technology (AT) services, a key practice domain in occupational therapy, facilitate the participation of individuals with disabilities in all major occupations. PURPOSE: The goal of this study was to explore personal meanings of occupational justice among consumers of AT and to propose strategies that integrate values of occupational justice in AT services. METHODS: A content analysis of interviews with seven consumers of AT devices was employed. Themes relevant to the four conceptual definitions of occupational injustice, namely marginalization, alienation, deprivation, and imbalance, were identified. FINDINGS: Four corresponding themes were inherent in the consumer experiences: ability to exercise choices through use of AT devices, using AT to achieve optimum occupational potential, empowerment through AT services, and personal relation to the AT device. Specific issues within these themes are classified and described according to the four conceptual definitions of occupational justice. IMPLICATIONS: The application of occupational justice is essential to promote client-centred AT services particularly in evaluation of needs, selection and acquisition of AT devices, and training and support for use of AT devices.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.037
Threshold uncertainty score0.811

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.513
GPT teacher head0.512
Teacher spread0.001 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations31
Published2012
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal of Occupational TherapySame topicAssistive Technology in Communication and MobilityFrench-language works237,207