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Record W4290703460 · doi:10.3109/13668250.2022.2096955

Challenges of parents with children with intellectual and neurodevelopmental disorders during COVID-19: Experiences and their impact on mental health

2022· article· en· W4290703460 on OpenAlexafffundabout
Elisa Kaltenbach, Ting Xiong, Donna Thomson, Patrick J. McGrath

Bibliographic record

VenueJournal of Intellectual & Developmental Disability · 2022
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsDalhousie UniversityIzaak Walton Killam Health Centre
FundersCanadian Institutes of Health ResearchIWK Health Centre
KeywordsMental healthIntellectual disabilityStressorCoronavirus disease 2019 (COVID-19)PandemicPsychologyPsychiatryNeurodevelopmental disorderClinical psychologyMedicineAutismDisease

Abstract

fetched live from OpenAlex

BACKGROUND: Parents of children with intellectual and neurodevelopmental disorders are a highly burdened group that faces additional challenges during the COVID-19 pandemic. METHODS: = 600) living in Canada participated in a cross-sectional online survey. RESULTS: More than 96% of the parents reported facing additional challenges due to the pandemic. COVID-19-related stressors correlated with poorer mental and physical health. Parents who reported a higher amount of COVID-19-related stressors also reported more post-traumatic stress disorder (PTSD) symptoms. DISCUSSION: Resuming and implementing new services for children with intellectual and neurodevelopmental disorders and their parents will be key in alleviating the challenges for those 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)0.001
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 score0.077
Threshold uncertainty score0.153

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0000.002
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 head0.043
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 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

Citations5
Published2022
Admission routes3
Has abstractyes

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