<b>Aditi Lahiri</b> (ed.) (2000). <i>Analogy, levelling, markedness: principles of change in phonology and morphology.</i> (Trends in Linguistics Studies and Monographs 127.) Berlin: Mouton de Gruyter. Pp. viii+385.
Bibliographic record
Abstract
This book grew out of a 1997 workshop sponsored by Aditi Lahiri and her group at the University of Constance. It consists of eleven chapters and an introduction by Aditi Lahiri, the editor. The articles are focused largely on Germanic languages, although not entirely, as Bengali and Latin also receive detailed discussion. There is diversity in the range of topics covered in the volume – tonogenesis, stress, quantity changes, voicing alternations, allomorphy, paradigms and grammaticalisation are some of the major areas of phonology and morphology that are addressed. Authors adopt different theoretical frameworks, with Optimality Theory playing some role in many articles. Optimality Theory is assumed by some, argued against by others and modified by yet others.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.045 | 0.052 |
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".