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Record W2610822187 · doi:10.1108/qaoa-11-2018-0058

Age-friendly communities for older persons with intellectual disabilities

2019· article· en· W2610822187 on OpenAlexaffabout
Caley Miskimmin, Shahin Shooshtari, Verena Menec, Karen A. Duncan, Toby L. Martin, Brenda M. Stoesz

Bibliographic record

VenueQuality in Ageing and Older Adults · 2019
Typearticle
Languageen
FieldMedicine
TopicDown syndrome and intellectual disability research
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsFocus groupGerontologyInclusion (mineral)Life expectancyIndependent livingOriginalityAging in placePsychologyPopulationIndependence (probability theory)Qualitative researchMedicineSociologySocial psychologyBusinessEnvironmental healthMarketing

Abstract

fetched live from OpenAlex

Purpose The life expectancy for persons with intellectual disabilities (ID) has increased significantly, resulting in an increasing number of aging persons with ID. To promote healthy and active aging of persons with ID, discussions on new initiatives to design age-friendly communities have begun at local and international levels. The purpose of this paper, a qualitative research study, is to identify features of an age-friendly community, and facilitators and barriers from the perspectives of older adults with mild ID and their caregivers who live in the city of Winnipeg in Canada. Design/methodology/approach Seven older persons with mild ID were interviewed, and 15 caregivers participated in focus group discussions. All participants were asked questions about features of community living and their experiences in eight broad topic areas (i.e. transportation, housing, social participation, respect and social inclusion, opportunities for community involvement, communication and information, community support and healthcare services, and outdoor spaces and buildings). Findings The results indicated that many of the current features of the city of Winnipeg do not adequately address the needs of aging persons with ID; specifically, participants revealed that issues related to accessibility, social participation, social disrespect and inclusion, and lack of resources were important barriers to independence. Originality/value The findings will increase awareness of the needs of aging persons with ID and inform programme planning, service delivery, coordination of community-based services and policies to support healthy and active aging for this vulnerable population.

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 categoriesInsufficient 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 score0.049
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.044
GPT teacher head0.343
Teacher spread0.300 · 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 designQualitative
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

Citations8
Published2019
Admission routes2
Has abstractyes

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