Unveiling The Reality of a Mother’s Journey in Embracing Autism
Bibliographic record
Abstract
Abstract This qualitative study explores the lived experiences of seven (7) mothers raising children with autism spectrum disorder (ASD) in Davao City, Philippines. The research aims to provide a localized understanding of the challenges, triumphs, and coping mechanisms unique to this region. Phenomenology guided the research design. In-depth interviews was conducted using semi-structured interview approach to gather a detailed exploration of each mothers journey. Thematic analysis revealed core statements reflecting the experiences of mothers, including the importance of accepting reality, difficulty in raising child with ASD, and the significance of seeking necessary support. Their coping mechanism for the challenges encountered included developing patience and persistence, acceptance and acquiring education, and seeking help through support systems. Insights from the participants revolved around the essence of unconditional love and acceptance, continuous learning and improvement, and seeking guidance and support. These findings highlight the need for tailored support services and increased awareness to assist mothers in their caregiving journey. Understanding the unique perspectives of these mothers can inform interventions and policies to better support families of children with ASD. It was further recommended to conduct study on long-term outcomes, cultural influences, and the effectiveness of interventions to provide evidence-based guidance for supporting individuals with autism and their families. Through this, the well-being and support systems for families navigating the challenges of raising children with autism will be reinforced.
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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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.009 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".