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Record W4408188182 · doi:10.1515/tlr-2025-2004

The typology of the distributional restrictions of a feature: occlusion and bipositionality

2025· article· en· W4408188182 on OpenAlex
Mohamed Lahrouchi, Shanti Úlfsbjörninn

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

VenueThe Linguistic Review · 2025
Typearticle
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsTypologyFeature (linguistics)LinguisticsLinguistic typologyPsychologyHistoryPhilosophy

Abstract

fetched live from OpenAlex

Abstract In some languages, the distribution of occlusion is highly restricted and interacts with bipositionality. Ulfsbjorninn and Lahrouchi, henceforth UL, (Ulfsbjorninn, Shanti & Mohamed Lahrouchi. 2016. The typology of the distribution of Edge: The propensity for bipositionality. Papers in Historical Phonology 1. 109–129) present a typology of this distributional restriction. UL demonstrated that in order to capture the typology of the feature restrictions, one requires Melody-to-Structure Licensing Constraints (MSLCs). These are a ‘prosodic licensing’-type mechanism that express grammatical statements dictating the distributional co-occurrence of a feature/melody <M>, against a certain state of syllable structure <S>. Crucially, to get the typology right, MSLCs must be stated bidirectionally: Bottom up (M must be contained by S), or Top down (S must contain M). This is theoretically significant because it excludes any analysis where occlusion and bipositionality are simply equated. We note, however, that the typology proposed by UL looks more symmetrical than it is; only two of the four predicted possibilities are discussed. Here we will fully expand the MSLC analysis, showing that each predicted type is attested. The bidirectional nature of MSLCs is critical since a simpler statement such as: ‘feature sharing is strength’ is not elaborate enough to account for the typology. We will also show that a completely unattested system, where the occlusion feature is systematically restricted to monopositional structures is excluded. This is because (a) MSLCs cannot formulate the statement, and (b) there is no other contributor to phonological strength that will generate it either, since bipositional structures are always positionally strong (Ségéral, Philippe & Tobias Scheer. 2001. La Coda-Miroir. Bulletin de la Société de Linguistique de Paris 96. 107–152) and sharing-strong (Honeybone, Patrick. 2002. Germanic obstruent lenition: Some mutual implications of theoretical and historical phonology. University of Newcastle upon Tyne. PhD thesis).

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.926
Threshold uncertainty score0.243

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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)0.0000.000

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 head0.025
GPT teacher head0.389
Teacher spread0.364 · 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