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Record W1996982480 · doi:10.1353/lan.2002.0174

<b>A course in phonology.</b> By Iggy Roca and Wyn Johnson. Oxford: Blackwell, 1999. Pp. xxi, 725.

2002· article· en· W1996982480 on OpenAlexaboutno aff
Jeffrey Steele

Bibliographic record

VenueLanguage · 2002
Typearticle
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsnot available
Fundersnot available
KeywordsPhonologyLinguisticsSonority hierarchyVowel harmonyVowelPhoneticsOptimality theorySyllabificationTheoretical linguisticsPhonological ruleMid vowelSyllableComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

Reviewed by: A course in phonology by Iggy Roca, Wyn Johnson Jeffrey Steele A course in phonology. By Iggy Roca and Wyn Johnson. Oxford: Blackwell, 1999. Pp. xxi, 725. Written in a clear and engaging style, Iggy Roca and Wyn Johnson’s book presents the essentials of nonlinear phonology, including an introduction to Optimality Theory. While examples are taken from English for the most part, some phenomena are exemplified with data from other languages (e.g. Turkish vowel harmony, Japanese pitch accent). The book is organized into three principal sections. Part 1, ‘Phonetics and phonology’, consists of a general introduction to articulatory phonetics and segmental phonology. Chs. 1–4 deal with the articulatory description of consonants. Using assimilation as a starting point, these chapters present the concepts of rules, derivations, distinctive features, natural classes, and autosegmental representation. In Chs. 5–7, R&J shift their focus to vowels. Beginning with a discussion of the vowel space, the learner is shown how the same types of distinctive features and autosegmental representations used for consonants can be applied to vowels. An examination of English vowels and dialectal variation constitutes the core of Ch. 7. Part 1 concludes with an introduction to the timing tier, including its role in the representation of complex segments and its potential as a mechanism for explaining the Great Vowel Shift. The discussion of the timing tier provides a good segue to Part 2, which examines suprasegmental phonology. Chs. 9 and 10 investigate syllable theory; the [End Page 589] concepts of sonority and constituency are presented and illustrated with examples from English. Cross-linguistic syllable typology is also discussed. Chs. 11 and 12 examine metrical phonology using grid theory. Ch. 13 integrates material encountered in the four preceding chapters through a discussion of syllable weight and its role in stress systems. Ch. 14 concludes Part 2 with an investigation of tonal phonology. Intonation, tonal and pitch accent languages, and the concepts of autosegmental association and floating tones are examined. Part 3, ‘Advanced theory’, investigates other topics in nonlinear phonology. Ch. 15 focuses on cyclic vs. noncyclic rules, primarily through a discussion of metrical grid construction in English. Ch. 16 investigates the concept of domain and its role in rule application; lexical phonology is introduced. In Ch. 17, R&J further investigate the lexicon through a discussion of lexical representation, markedness, and underspecification theory. Whereas Ch. 18 provides more study of rules and derivation, Ch. 19 introduces the concept of constraints and constraint interaction in Optimality Theory. Ch. 20 concludes with a summary. This book has many strengths. First, it presents the core of generative phonological theory using readily accessible examples. Second, it is clear and well-organized: The chapters follow logically, and summaries and margin notes highlight important concepts. Finally, much effort is made to guide the novice phonologist through the processes of hypothesis construction and evaluation. The book also has some weaknesses. In general, there is a lack of examples drawn from languages other than English. Second, some of the problem sets could be better constructed. Third, the chapter on Optimality Theory could be better integrated into the book as a whole. Finally, the ‘interactive’ grey boxes, intended to facilitate the reader’s understanding, are excessive in number and interrupt the flow of the text. However, all in all, this is indeed a very sound textbook. Jeffrey Steele McGill University Copyright © 2002 Linguistic Society of America

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.151
Threshold uncertainty score0.506

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0010.001
Scholarly communication0.0030.006
Open science0.0010.001
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.1510.108

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.

Opus teacher head0.015
GPT teacher head0.304
Teacher spread0.289 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

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Citations0
Published2002
Admission routes1
Has abstractyes

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