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Record W2592813427 · doi:10.1111/jppi.12226

Giving Voice to Persons With Intellectual Disabilities About Family Quality of Life

2017· article· en· W2592813427 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Policy and Practice in Intellectual Disabilities · 2017
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsIntellectual disabilityPsychologyIntervention (counseling)Focus groupQuality of life (healthcare)Inclusion (mineral)Developmental psychologyGerontologyMedicineSocial psychologyPsychiatrySociologyPsychotherapist

Abstract

fetched live from OpenAlex

Abstract Research in the field of disability should include the voice of individuals with intellectual disabilities (ID), since these individuals are considered to be the experts on their own experiences. Quality of life (QoL) is a worldwide concept that has been studied in many areas, including ID. Since about the year 2000, researchers have studied QoL of families in many countries around the world, but this body of research has mostly reflected the views of the main caregiver of the person with ID. The major purpose of this study was to give voice to persons with ID, and to explore their perspectives about their FQoL. Four focus groups were conducted with 17 men and women with ID (mild and moderate), aged between 16 and 53 years old. Full transcriptions of the focus group discussions were analyzed with the NVivo 10 software. The findings showed that persons with ID identify family relationships as the most important dimension for FQoL and that some differences between younger and older participants existed. Ethical and practical challenges, as well as the implications for research and intervention are discussed. The inclusion of individuals with ID as informants in research is a way to value their point of view, empower them, and recognize the knowledge that they are able to bring to research.

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.

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)0.005
metaresearch head score (Gemma)0.664
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.659
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.664
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.003
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.159
GPT teacher head0.463
Teacher spread0.303 · 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