“It's Not the Asperger's That Causes the Anxiety, It's the Communication”
Bibliographic record
Abstract
This article focuses on a narrative account of a therapeutic journey experienced by 2 of the authors: an individual (P.D.) with a diagnosis in adulthood of autism spectrum disorder (ASD) and a speech–language pathologist/researcher (I.W.). Instead of adopting a traditional expert clinician treating an impaired patient stance in a highly formalized clinical setting, with concomitant role expectations of power and perceived inequality, a cultural–clinical borderland was coconstructed. The figurative notion ofborderlandin this context is used to describe a physical and psychological space characterized by a more flexible, informal, and authentically shared therapeutic relationship, influenced by a merging of cultures. The cultures at play in this context were an ASD and non-ASD culture and the culture and practice of speech–language pathology. Accounts of social communication experiences, challenges, and anxieties focused on personal reflections, when misunderstandings and miscommunications surfaced from perceived cultural differences. Instead of reinforcing experiences of otherness and difference—which may be an inadvertent by-product of impairment-focused therapy—a positive trajectory of hope and recovery emerged from these interactions when they were placed within a person-centered context.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.021 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".