Autism-ness Does Not Exist, but Autism Does. Part 1: A Critic of the “Spectrum” Position Used to Describe, Diagnose, and Research Autism, and Its Alternative
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article presents the historical roots of the dimensional perspective on autism, the epistemological and clinical critics of its assumptions and effects, and offers an alternative to it. Autism is increasingly being described as the "extreme far end" of a spectrum of traits distributed continuously and heterogeneously throughout the general population, and various comorbid neurodevelopmental conditions. This dimensional perspective, initially a response to the excesses of nominalism in the DSM, creates its own heuristic and clinical dead ends. In contrast with this dimensional paradigm, clinical experts recognize and diagnose prototypical autism based on the high similarity of specific clinical signs that are present during the preschool period. We propose viewing autism as a universal and evolutionarily stable, quasi-categorical possibility of human development, offering a prototypical presentation within a certain age range. We argue that prototypical autism needs to be further clinically described and scientifically investigated before anticipating the inclusion of nonprototypical presentations in an informative "autism spectrum." To achieve this, instruments based on qualitatively defined signs, with weighted diagnostic value, and universally associated with clinical certainty, must be developed. In the meantime, we recommend that all clinicians suspend the use of DSM-5 clinical specifiers to focus on clinical certainty and the application of differential diagnoses, rather than on the diagnostic thresholds of DSM-5 and of standardized instruments.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it