Perception of Iraqi Women about Autism
Bibliographic record
Abstract
Abstract Background: Autism is increasing in prevalence year by year worldwide. In most cases, women are the primary health-care providers; eventually, they should manage to identify the signs and symptoms of autism and respond accordingly. The ultimate goal is to achieve optimum care for patients with autism. This study aims to ascertain the mothers’ awareness and knowledge of autism. Methodology: A descriptive study design using a purposive (nonprobability) sample of 230 women in the age range 17–48 years were included in this study from women visiting Primary Health Care Centers in Ramadi city. Results: About one-quarter of women (25.2%) reported to have an autistic child, only 11.3% of them do not know that their children show no contact, interaction, or interest with other children. Social media were the most frequent source of information regarding autism (38.7%). About half of the women under study do not know if autism is a genetic disease. Conclusions: The study revealed a high perception of women regarding autism.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".