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Record W2555322120 · doi:10.1111/jar.12312

Friendships and Intimate Relationships among People with Intellectual Disabilities: A Thematic Synthesis

2016· review· en· W2555322120 on OpenAlexaff
Casey Fulford, Virginie Cobigo

Bibliographic record

VenueJournal of Applied Research in Intellectual Disabilities · 2016
Typereview
Languageen
FieldMedicine
TopicDown syndrome and intellectual disability research
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsIntellectual disabilityPsychologyThematic analysisDevelopmental psychologySocial psychologyDisabled peopleQualitative researchSociologyApplied psychologySocial science

Abstract

fetched live from OpenAlex

BACKGROUND: The purpose of this thematic synthesis was to review qualitative studies on perspectives of persons with intellectual disabilities regarding friendships and intimate relationships. MATERIALS AND METHODS: A literature search was conducted, including studies published between 2004 and 2014, involving participants 14 years of age or older, who had intellectual disabilities, and participated in focus groups or interviews. RESULTS: Eighteen studies were included. Three master themes were identified: (i) How do I know someone is my friend? (ii) How do I know someone is my boyfriend or girlfriend? and (iii) What helps and hinders relationships? CONCLUSIONS: Understanding how people with intellectual disabilities describe relationships, and being aware of factors that support and impede relationships, will aid stakeholders in developing training, policies, programmes and services. Knowledge translation of research that focuses on strategies aimed at supporting relationships is crucial to affect change in applied settings and improve quality of life for persons with intellectual disabilities.

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)0.015
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.015
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.020
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0080.009
Science and technology studies0.0020.002
Scholarly communication0.0040.005
Open science0.0020.004
Research integrity0.0010.001
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 head0.211
GPT teacher head0.403
Teacher spread0.192 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations91
Published2016
Admission routes1
Has abstractyes

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