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Record W2801975535 · doi:10.5604/01.3001.0012.0325

Families raising a child with disability – Social and cultural and political considerations: Israeli Jewish and Arab Families

2017· article· en· W2801975535 on OpenAlexaff
Dana Roth, Ivan Brown

Bibliographic record

VenueMan – Disability – Society · 2017
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsBrock University
Fundersnot available
KeywordsJudaismPoliticsConstruct (python library)Quality of life (healthcare)Family lifePsychologyService delivery frameworkDevelopmental psychologyPolitical scienceGender studiesSociologyMedicineService (business)NursingGeography

Abstract

fetched live from OpenAlex

Social, political, and cultural realities have an effect on all members of society. For families with a child with disability there are additional challenges. Being a minority family with a child with a disability adds to the challenges. This study compares the family quality of life (FQOL) of families with a child with disability in Jewish and Arab communities in Israel. Main caregivers of children with disabilities of 158 Jewish and 105 Arab Israeli responded to the Family Quality of Life Survey, which operationalizes FQOL as a construct of six measurement dimensions in nine core family life domains. Overall, Jewish families in Israel reported higher FQOL than Arab families. Although eight of the nine domains were rated highly for Importance, the main outcome measures Attainment and Satisfaction were rated lower for almost all domains. Some domains contributed to overall differences more than others. The patterns also differed for the Jewish and Arab families. Social/cultural/political status of families are important for policy and practice professionals to consider as having possible impact on the family of a child with a disability. Further research is needed to develop application models for addressing the needs of minority populations in designing programs into the general service delivery system.

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 categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.097
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 studies0.0030.020
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.079
GPT teacher head0.383
Teacher spread0.304 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2017
Admission routes1
Has abstractyes

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