Disability barriers autistic girls face in secondary education: A systematic review
Bibliographic record
Abstract
Autistic adolescent girls face complex and diverse challenges in the school setting, specifically mental health issues, unmet social and education needs, and social exclusion. This review provides an overview of research relating to the barriers autistic females face in school settings by reporting on their experiences as well as those of autistic women reflecting on their past. This literature review presents peer-reviewed journal articles published from January 2013 to March 2023. Based on the 17 identified articles, the barriers girls face in the compulsory education setting centred on 4 themes of societal barriers grounded in gender; the institutional or physical barriers of schools; social and communicative expectations; and stigmatization. These results underscore the need for future research to centre diverse autistic lived experiences and knowledge, and autistic inclusion at all levels of participation, from self-advocacy and peer support spaces to the co-development of training and policy.Lay abstractAutistic adolescent girls face complex and diverse challenges in the school setting, specifically mental health issues, unmet social and education needs, and social exclusion. The purpose of this review was to provide a general idea of research relating to the experiences of autistic females in secondary school settings by reporting on their experiences and the lived experiences of autistic women reflecting on their past. Based on the identified articles, the barriers girls face in the compulsory education setting centred on four themes of societal barriers grounded in gender; the institutional or physical barriers of schools; social and communicative expectations; and stigmatization. The study highlighted that there is a need to sensitize and educate widely on the topic of autism for teachers, to support staff, school psychologists and peers of autistic youth. The results call attention to the need for future research to focus on the different lived experiences and knowledge of autistic girls.
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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 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.004 |
| Bibliometrics | 0.008 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| 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".