MYTHOLOGIZING ASPERGER SYNDROME: EXPLORING IMPACTS ON SOCIAL JUSTICE FOR CHILDREN IN OUT-OF-HOME CARE
Bibliographic record
Abstract
While the majority of children affected by autistic spectrum disorders (ASD) remain at home and within their communities, a minority are so badly affected that they require out-of-home care. This article draws on some of the findings of the author’s doctoral thesis. Social justice discourse and critical disability studies have alerted researchers to the foregrounding of privileged ideas in society. For this study, texts were analyzed using ideas from Foucault and Critical Discourse Analysis. Textual analysis revealed that the discourse of Asperger Syndrome comprises an association with high intelligence, special talents (especially in maths or computing) and possibly with genius. There is also a prevailing belief within the discourse of Asperger Syndrome that it is a “mild disorder”. The voices of children who are seriously affected by Asperger Syndrome, to the extent that they may need out-of-home care, are absent. A field study that examined the views of potential and newly recruited child care practitioners demonstrated the ways in that incomplete messages from the discourse of Asperger Syndrome can affect practice.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.011 | 0.026 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.005 |
| 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".