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Scope of Social Work Practice for Families of Children with Down Syndrome

2020· article· en· W3110235750 on OpenAlexvenueno aff
Bilal Ahmad Khan, Wakar Amin Zargar, Shabir Ahmad Najar

Bibliographic record

VenueJournal of Intellectual Disability - Diagnosis and Treatment · 2020
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsnot available
Fundersnot available
KeywordsSocial workPsychological interventionIntervention (counseling)Scope (computer science)Multidisciplinary approachDown syndromeSocial WelfareWork (physics)PsychologyPublic relationsNursingMedicineSociologyPsychiatrySocial sciencePolitical science

Abstract

fetched live from OpenAlex

ocial work practice takes place at micro, mezzo, and macro levels between persons with disabilities in families and other social institutions, such as schools, health systems, and welfare systems. Drawing from multidisciplinary theoretical sources, the article brings together social work and family therapy to develop a possible social work intervention for families of children with Down syndrome. The primary purpose of these interventions is to aid clients in alleviating problems and improving their well being. Social workers must think creatively about interventions that may help the individuals, couples, families, and groups or communities they serve. This research is using the literature study method. The results confirm that numerous concerns have to be addressed faced by children with Down syndrome. Toward various issues and challenges faced by people with Down syndrome and their families, social workers have the professional responsibility to provide services and intervention to increase the children with Down syndrome's social functioning and overall well-being of parents.

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)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0050.002
Scholarly communication0.0010.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.000

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 head0.064
GPT teacher head0.354
Teacher spread0.290 · 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 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

Citations2
Published2020
Admission routes1
Has abstractyes

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Same venueJournal of Intellectual Disability - Diagnosis and TreatmentSame topicFamily and Disability Support ResearchFrench-language works237,207