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Record W3170751434

The Lived Experiences of Parents Who Have Children Diagnosed with Autism Spectrum Disorder (ASD)

2021· dissertation· en· W3170751434 on OpenAlexaboutno aff
Harleen Toor

Bibliographic record

VenueNational University System Repository (National University System) · 2021
Typedissertation
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsnot available
Fundersnot available
KeywordsAutism spectrum disorderPsychologyDevelopmental psychologyAutism
DOInot available

Abstract

fetched live from OpenAlex

This study examines the lived experience of parents who have a child diagnosed with autism spectrum disorder (ASD). The rise in the number of children diagnosed with ASD means that more parents may be adversely affected. This study chose a descriptive phenomenological design to study the phenomena around the lived experiences of these parents. This study recruited ten Canadian participants. Inclusion criteria for being selected were that the participant needed to be over the age of eighteen and the child needed to have a formal diagnosis of ASD by a health care professional. The researcher collected data through a semi-structured interview, in which participants were audio recorded. The data were processed through the software NVivo to generate transcripts. Four themes emerged from the data: participants felt a lack of support from informal and formal supports; grief over their child’s diagnosis; the stigma around the diagnosis; and poor mental health. This study is important as it can aid clinicians, social workers, and other health professionals to better support parents who have children with ASD, as the research provides deeper insight into the lived experience of parents who have children diagnosed with ASD.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.700
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.013
GPT teacher head0.254
Teacher spread0.241 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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