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Record W2012047430 · doi:10.1177/000841740507200111

Dispelling the Disability Stereotype: Embracing a Universalistic Perspective of Disablement

2005· article· en· W2012047430 on OpenAlexaffvenue
Brenda Vrkljan

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2005
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsWestern University
Fundersnot available
KeywordsUniversalismPerspective (graphical)Stereotype (UML)International Classification of Functioning, Disability and HealthOccupational therapyPsychologyOccupational scienceRehabilitationSociologySocial psychologyPolitical sciencePolitics

Abstract

fetched live from OpenAlex

BACKGROUND: The notion of universalism was introduced to me during my first year of PhD studies in Rehabilitation Science. During a class discussion, we debated the merits of two theoretical perspectives that offered contradicting views as to the most effective means to facilitating a shift in societal perceptions of disability. As exemplified by the World Health Organization's current model of health, the International Classification of Functioning, Disability and Health (ICF), there has been a shift from a minority group analysis towards a universalistic perspective of disablement. PURPOSE: This paper introduces readers to the underlying concepts of both minority group analysis and universalism and, in doing so, proposes that universalism is closely aligned with the underlying constructs of occupational therapy. Universalism provides a comprehensive framework that can be utilized by occupational therapists to encourage the development of health and social-related policies that promote inclusiveness, yet still the respect the differences that exist among individuals. PRACTICE IMPLICATIONS By improving their familiarity with such theories, occupational therapists may be better positioned to contribute to policy development within their respective treatment and/or community settings.

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)0.002
metaresearch head score (Gemma)0.000
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 score0.162
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.282
GPT teacher head0.510
Teacher spread0.229 · 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

Citations16
Published2005
Admission routes2
Has abstractyes

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