New contrast acquisition: methodological issues and theoretical implications
Bibliographic record
Abstract
This article presents data on the acquisition of the low back vowel contrast by native speakers of Canadian English who have moved as adults to the New York City region, examining how these speakers who natively possess a single low back vowel category have acquired the low back vowel distinction of the new ambient dialect. The speakers show remarkable first dialect stability with respect to their low back vowel system, even after many years of new dialect exposure: in minimal pair contexts, nearly all of the speakers continue to produce and perceive a single vowel category. However, in word list and conversational contexts, the majority of speakers exhibit a small but significant phonetic difference between words likecotandcaught, reflecting the separation of these word classes in the new dialect to which they are exposed; moreover, the realization of these words shows frequency effects consistent with a lexically gradual divergence of the two vowels. These findings are discussed in terms of their implications for theories of phonological representation and change, as well as their methodological implications for the study of mergers- and splits-in-progress.
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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 | 0.142 | 0.249 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.006 | 0.021 |
| Scholarly communication | 0.006 | 0.013 |
| Open science | 0.010 | 0.008 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 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".