The Change in Classification of Asperger Syndrome: An Exploration of its Effects on Self-Identity
Bibliographic record
Abstract
Recently, the American Psychiatric Association eliminated Asperger Syndrome (AS) and introduced the Autism Spectrum Disorder (ASD) diagnostic framework. This change in nosology socially implicates people who self-identify with and derive personal meaning from their AS diagnosis. The current study explored the opinions of adults with AS regarding their identity related to the diagnostic terminology of ASD. Twelve adults with AS completed a semi-structured interview that was transcribed and analyzed qualitatively using Thematic Analysis. The analysis revealed six themes: (a) Derived Meaning, (b) Knowledge and Understanding, (c) Perceptions and Labels, (d) Social Identity, (e) Opinions and Reactions to ASD, and (f) Barriers to Funding and Service Provision. Many participants socially identified and self-categorized as part of the AS community because their challenges matched those described by the DSM-IV. Importantly, many participants described the removal of AS as a threat to their identity, social status, and access to supports. Implications are discussed.
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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 | 0.015 | 0.049 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".