Religion and Resilience of Parents with a Child with Autism Spectrum Disorders
Bibliographic record
Abstract
The resilience of parents with children with autism is a key concept in the confrontation of the autism challenges which demand parents who are mentally healthy and who will be in a position to satisfy the special needs of their autistic children, however, without sinking into loneliness and isolation which affect the less resistant families and upset their inner balance. The parents resort to various sources for the strengthening of resilience, it is the power of God both as a cause of the origin of autism and as the unique or one of the possible ways of resolving the problem. This survey investigated the views on divine will as to the origin and confrontation of autism in families of Christians and Muslims and it attempted to highlight the possible differences in the culture of these groups that are different in terms of culture and religion. The parents of 312 autistic children in Greece, all of them couples, namely 624 men and women, constituted the population sample. The quantitative survey results showed that the Greek Christians satisfy more efficiently their child’s needs, perhaps because they attribute lesser importance to the factor of the Divine compared to the parents of other religions. The weaker connection between the origin and management of the disease and the Divine will allows them to invest in scientific help for addressing a problem which in fact they perceive in more positive social terms than the Muslims do.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".