Naturalism, Internalism, and Nativism: &lt; What &gt; The Legacy of<i>The Sound Pattern of English</i>&lt; Should Be &gt;
Bibliographic record
Abstract
Phonology is the study of abstract sound patterns in human language, as opposed to phonetics, which studies all aspects of speech, including articulation and acoustics. The phonology of each language consists of various computations. In Sound Pattern of English (SPE) the computations are called rules, and the phonology of a language is a complex function resulting from composing the rules in a particular order. Aside from internalism, naturalism and nativism are the most important notions of Chomsky's legacy in linguistics. SPE phonology explicitly adopts strict and consistent naturalism, internalism and nativism. The rightful legacy of SPE includes the naturalism, internalism and nativism found also in Chomsky's syntactic work. The SPE arguments given against building markedness into the formal theory are consistent with the idea of phonology as naturalistic inquiry, and these convincing arguments are only reinforced by the inconsistencies in markedness-based approaches.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.018 |
| Scholarly communication | 0.004 | 0.007 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".