MétaCan
Menu
Back to cohort
Record W1974611568 · doi:10.1017/s0952675704000053

Theoretical implications of segment neutrality in nasal harmony

2003· article· en· W1974611568 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePhonology · 2003
Typearticle
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsMcGill University
Fundersnot available
KeywordsNeutralityHarmony (color)ConsonantGrammarPhonotacticsConstraint (computer-aided design)Computer scienceSet (abstract data type)LinguisticsMathematical economicsClass (philosophy)MathematicsArtificial intelligenceSpeech recognitionPolitical sciencePhilosophyArtLawProgramming language

Abstract

fetched live from OpenAlex

In nasal harmony systems, any major consonant class (excluding laryngeal glides) may fail to undergo nasalisation. This paper proposes to derive the neutrality of stops, fricatives, liquids and glides from the satisfaction of a special set of faithfulness constraints; each member of the set commands the presence of a particular segment class in a consonant inventory. The analysis requires that the constraint commanding the presence of stops be active in every grammar and invariably take precedence over the demands of nasal harmony. The explanation of stop neutrality forces a rethinking of the nature of constraints and how they interact. The paper argues that the constraints regulating the cross-linguistic manifestation of segment neutrality are either universal grammatical features (i.e. principles) or language-specific choices (i.e. parameters of variation). It also postulates that constraint interaction is regulated by a set of metaconditions that determine ordering; constraint ranking is not random.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.689
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.000

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.

Opus teacher head0.048
GPT teacher head0.378
Teacher spread0.330 · 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