Asymmetric developmental bifurcations in polarized environments: a new class of human variants, which may include autism
Bibliographic record
Abstract
Inspired by discrete stable alternative states that often coexist with the dominant phenotypes of a species, we propose that asymmetric developmental bifurcations (ADB) may provide a biological framework for grouping autism together with some human alternative organizations rather than with disorders or diseases. These include minority embryological or obstetrical variants, such as twinning and breech presentation, as well as minority information processing variants, such as left-handedness and importantly prototypical autism. Four common contextual, developmental, adaptive, and mechanistic features unify these alternative conditions as ADBs: 1) ADBs occur in a dynamic system formed by an individual and his environment with two polarized stable solutions. 2) The bifurcation occurs in a critical period of development and is significantly shorter than the stable states that precede and follow it. 3) While the frequent branch of the ADB optimizes evolutionary success, its rare branch has an adaptive cost, which is still compatible with survival. 4) Both rare and frequent branches of the ADB are human possibilities, favoured without major/deleterious changes by familial and/or sexual predispositions. Framing autism as a categorical, alternative phenotypic prototype in a polarized choice between social bias and its absence, elucidates autism's recurrent divergence within the species, its developmental and information processing characteristics, and its adaptive challenges.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".