The road not taken:<i>The Sound Pattern of Russian</i>and the history of contrast in phonology
Bibliographic record
Abstract
This article examines a turning point in the history of the theory of phonological distinctive features. In Morris Halle’s (1959)The Sound Pattern of Russian, features are organized into a contrastive hierarchy designed to minimize the number of specified features. Redundancy rules, however, ensure that the resulting underspecification has no real phonological consequences and, in subsequent generative approaches to phonology, contrastive hierarchies were largely abandoned. We explore how Halle’s hierarchy would have been different if it had been based on phonological patterns such as voicing assimilation, and show that this reorganization makes plausible predictions about other aspects of Russian phonology. We conclude by pointing to recent work in which the concept of a contrastive hierarchy has been revived, illustrating the range of phenomena that this theoretical device can account for if minimizing specifications is not the primary concern.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.013 |
| Scholarly communication | 0.003 | 0.006 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".