Bibliographic record
Abstract
This article surveys the history of contrast in phonology from Bell's Visible Speech ( 1867 ) until Chomsky & Halle's Sound Pattern of English ( 1968 ). Phonological contrast can be viewed at the segmental and subsegmental (feature) levels. As contrast at the segmental level involves the phoneme, whose later history has been extensively documented, I concentrate on the origins of the concept in the work of Sweet. Subsequently, I focus on subsegmental-level contrast. After a look at its treatment in phonological analyses that operated without an explicit theory of features, I turn to Trubetzkoy, in whose work we find the seeds of later approaches. The article explores the foundations of the main methods of computing contrastive features: minimal differences and hierarchical feature ordering. It concludes with a discussion of contrast in early generative phonology and reviews some of the reasons for its decline at the end of the 1960s.
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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 | 0.001 | 0.003 |
| 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) | 0.000 | 0.000 |
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 teacher head, 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".