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Record W2007424803 · doi:10.1353/lan.2001.0213

<b>The syntax of American Sign Language:</b> Functional categories and hierarchical structure. By Carol Neidle, Judy Kegl, Dawn MacLaughlin, Benjamin Bahan, and Robert G. Lee. Cambridge, MA: The MIT Press, 2000. Pp. x, 229. $35.00.

2001· article· en· W2007424803 on OpenAlexaboutno aff
Gerald P. Berent

Bibliographic record

VenueLanguage · 2001
Typearticle
Languageen
FieldPsychology
TopicHearing Impairment and Communication
Canadian institutionsnot available
Fundersnot available
KeywordsAmerican Sign LanguageLinguisticsSyntaxSign languageSign (mathematics)VerbComputer scienceSociolinguistics of sign languagesContext (archaeology)Language interpretationHistoryMathematicsPhilosophy

Abstract

fetched live from OpenAlex

Reviewed by: The syntax of American Sign Language: Functional categories and hierarchical structure by Carol Neidle, et al. Gerald P. Berent The syntax of American Sign Language: Functional categories and hierarchical structure. By Carol Neidle, Judy Kegl, Dawn MacLaughlin, Benjamin Bahan, and Robert G. Lee. Cambridge, MA: The MIT Press, 2000. Pp. x, 229. $35.00. This book provides broad theoretical coverage of the syntax of American Sign Language (ASL), the visual-gestural language of the Deaf community in the United States and much of Canada. In developing their detailed analyses of ASL clause structure, tense and agreement, determiners, wh-questions, and related structures, the authors adopt certain assumptions of the minimalist program (Chomsky 1995), especially feature checking. Accordingly, the book’s orientation and argumentation will not be very accessible to anyone who does not have familiarity with recent developments in linguistic theory. For readers who have little familiarity with sign languages and sign language research, the book provides orienting information concerning the sociolinguistic context in which ASL is used and a discussion of methodological considerations for eliciting and analyzing sign language data. For further orientation, the authors devote a chapter to ‘Language in the visual modality’, in which they overview the nature of sign languages with respect to the production of signs, the simultaneous articulation of manual (signed) and nonmanual (head and upper body) expression, and the spatial representation of linguistic information. The chapter outlines how ASL utilizes [End Page 839] space to represent φ-features and to articulate pronominals, reflexives, determiners, and verb agreement. Discussion of the articulation of signs and agreement marking is supported by pairs of black and white photos that capture the beginning and the end of a sign sequence. Unfortunately, this glimpse of the sign sequence and the low quality of these and other photos throughout the book may not provide much assistance to readers who have little familiarity with sign language. The authors do include a useful appendix of notational conventions that summarizes all the glosses, indices, diacritics, and nonmanual markings they use for representing ASL sign sequences. Fundamental to the analyses of tense, agreement, and wh-constructions in ASL is the role of nonmanual expressions (e.g. headshakes, head tilts, eyebrow raising, eyebrow lowering, eye gaze, etc.). The authors maintain that these nonmanual expressions are manifestations of abstract features like +neg, +wh, and φ-features and that their overt expression in ASL provides concrete evidence for the existence of such features. An example of nonmanual agreement marking in ASL is illustrated in 1.1 1. The authors maintain that the sign sequence JOHN LOVE MARY is accompanied by a head tilt toward the subject JOHNi and an eye gaze toward MARYj. Coindexing indicates the direction of the head tilt (toward the space where JOHN is signed) and the direction of the eye gaze (toward the space where MARY is signed). The horizontal lines indicate the duration of the nonmanual expressions. It is argued that the head tilt toward JOHN and the eye gaze toward MARY are concrete manifestations of the subject agreement and object agreement features associated with Agrs and Agro, respectively. Most of the proposals for ASL depend crucially on the role of nonmanual syntactic markings and the feature checking c-command domains that they delineate across signed utterances. The authors maintain that ‘the distribution, spread, intensity, and perseveration of such markings provide evidence about the location of abstract syntactic features’ (47). The most provocative and controversial claim is that ASL exhibits rightward wh-movement, a claim that runs counter to proposals, as in Kayne 1994, that wh-movement is universally leftward. The authors’ rightward wh-movement analysis also poses a direct challenge to the leftward movement analyses that have been proposed for ASL, most notably by Lillo-Martin 1990, Lillo-Martin and Fischer 1992, Petronio 1993, and Petronio and Lillo-Martin 1997. The strident tone of the book bespeaks the intensity of the leftward/rightward debate and, in developing their rightward analysis, the authors sustain a dogged attack on the proposals of these other authors. The debate is driven by opposing views not only on the relevant syntactic processes needed to account for the distribution of wh-phrases...

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

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)0.001
metaresearch head score (Gemma)0.002
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: Review · Consensus signal: Review
Teacher disagreement score0.070
Threshold uncertainty score0.235

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0010.004
Scholarly communication0.0050.009
Open science0.0010.002
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0700.045

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 head0.009
GPT teacher head0.261
Teacher spread0.252 · 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
GenreReview

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".

Quick stats

Citations0
Published2001
Admission routes1
Has abstractyes

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