Bibliographic record
Abstract
Abstract This chapter focuses on neuroconstructivism, an important and influential type of empiricist account which holds that a key feature of cognitive systems that is typically associated with rationalism—domain specificity—isn’t part of the innate structure of the mind but instead arises as a product of domain-general psychological development. The chapter examines Annette Karmiloff-Smith’s important and influential version of neuroconstructivism and her view that rationalists are wrong to postulate any innate domain-specific psychological mechanisms. An important feature of Karmiloff-Smith’s position is that she holds that the case for neuroconstructivism specifically undermines rationalist arguments that rely on evidence pertaining to Williams syndrome, autism spectrum disorder, or other cases involving neuro-atypical cognition. We argue that Karmiloff-Smith’s arguments fail and that patterns in neuro-atypical cognition can indeed be used as evidence for innate domain-specific mechanisms.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.010 |
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; both teacher heads agree on what is shown here.
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".