Diagnosis “Autism†– from Kanner and Asperger to DSM-5
Bibliographic record
Abstract
The authors make a synthesized overview of the evolution of the understanding of autism in historical context and a critical analysis of the development of diagnostic criteria in the spirit of the Diagnostic and Statistical Manual (DSM). Based on personal research and extensive clinical experience they put forward a number of debatable issues and own views about the nature of autistic disorder by outlining the trends and directions for future research. Discussed is the issue of core and additional symptoms of autism and the need for comparison of categorical and dimensional data when constructing empirical studies for the autistic population. The article contains reflections on the underlying impairment which, according to the authors, is a disturbance in the processing and integration of the incoming information, especially at the level of filtration of significant and insignificant stimuli and their linking into a mental sequence appearing at different levels and with varying degree of severity. Noted is the importance of the detailed assessment of mental functioning for early diagnosis and individualized targeting of the therapeutic efforts. In this regard is emphasized the need to search for a new paradigm in the methodology of future research on autism that would make possible the comparison of interdisciplinary results and identification of connections between the relevant scientific achievements. Thus it will be possible to identify trends that will bring us closer to revealing the etiology, perhaps will have an impact on the criteria for diagnosis and on the overall construction of future therapeutic strategies.
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.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".