Adaptive Parenting: Coping Mechanism of Parents Having a Child with Autism Spectrum Disorder (ASD)
Bibliographic record
Abstract
Raising a child with Autism Spectrum Disorder (ASD) is challenging and exciting because of the different experiences they must face throughout the journey. This qualitative phenological research aims to explore a lived experience as well as the challenges and coping mechanisms of a mother who raises a child with ASD. This study acquires a parents experiences through one-on-one interviews that lead to revealing the deepest agony of a woman raising a child with ASD. It includes challenges, coping mechanisms as well as learnings in different aspects of raising a child diagnosed with ASD. Thematic Analysis revealed core ideas reflecting the mothers sacrifices in accepting the reality of having a child with ASD. The challenges experienced by participants start from the denying stage to acceptance, which leads to seeking an occupational therapist, causing the participants emotional and financial difficulties despite the mothers challenging experiences, it boasts into more dedicated acts of selfishness to ensure the learners needs. The findings of this study can contribute to the parents having a child with ASD how to accept the learners difficulties and raise a child with a complete understanding of their diagnoses.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".