Bibliographic record
Abstract
In a seminal paper describing the first 11 cases of autism, Kanner pointed to the innate disturbance of affective contact occurring in the infancy of these children and to unusual personality traits in their parents (1). These observations could have indicated genetic mechanisms underlying the syndrome; however, the predominance of psychoanalytical theories and the particular focus on maternal deprivation in post–World War II child psychiatry led to misconceptions of autism as an infant’s response to early disturbances of the mother–child relationship (termed the “refrigerator mother”). The word “autism” was first used by Bleuler to index a cardinal sign of schizophrenia, and its use to describe the syndrome unfortunately led to 30 years of controversy about the validity of autism as a distinct syndrome vis-vis adult psychoses. The subsequent period of confused terminology (for example, “infantile schizophrenia,” “early childhood psychosis,” and “symbiotic psychosis”) largely reflected untested psychoanalytical models and prevailed up to the late 1960s.
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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.001 |
| Science and technology studies | 0.003 | 0.011 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.013 | 0.024 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".