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Record W2253616404 · doi:10.3109/01612840.2015.1081654

Stigma and Developmental Disabilities in Nursing Practice and Education

2016· article· en· W2253616404 on OpenAlexaff
Annette D. Whiteley, Donna Kurtz, Penelope Cash

Bibliographic record

VenueIssues in Mental Health Nursing · 2016
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsUniversity of British Columbia, Okanagan CampusUniversity of British ColumbiaInterior Health
Fundersnot available
KeywordsPejorativeStigma (botany)PsychologyCurriculumNursingInequalityNurse educationPedagogyMedicinePsychiatryPolitical science

Abstract

fetched live from OpenAlex

Individuals with developmental disabilities (DD) experience stigma, discrimination, and barriers, including access to appropriate health care, that restrict their ability to be equal participants in society. In this study, underlying contexts, assumptions, and ways of acting are investigated that perpetuate inequalities and pejorative treatment toward those with disabilities. Several nurse researchers and educators suggest specific content for, or approaches to, education about DD. Critical pedagogy that employs cultural competency and a disability studies' framework to guide curriculum and course development will allow assumptions underlying common health care practices that oppress and "other" people with disabilities to be exposed and changed.

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)0.006
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.013
Scholarly communication0.0050.004
Open science0.0010.010
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.044
GPT teacher head0.484
Teacher spread0.441 · 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 designNot applicable
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

Citations15
Published2016
Admission routes1
Has abstractyes

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