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Record W3133668313 · doi:10.1017/s0952675720000299

Level ordering and opacity in Tetsǫt’ıné: a Stratal OT account

2020· article· en· W3133668313 on OpenAlexaff
Alessandro Jaker, Paul Kiparsky

Bibliographic record

VenuePhonology · 2020
Typearticle
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPhonologyLinguisticsTone (literature)OpacityPhonological rulePhilosophyPhysics

Abstract

fetched live from OpenAlex

Dene (Athabaskan) verbs are widely known for their complex morphophonology. The most complex patterns are associated with two conjugation markers, /s/ and /n/, which are associated with a floating H tone to their immediate left. In this paper, we provide an analysis of /θe/ and /ɲe/, the reflexes of the /s/ and /n/ conjugations in Tetsǫ́t’ıné. Whereas previous accounts of these conjugations have relied heavily on morphological conditioning, we show that, once level ordering, autosegmental phonology and metrical phonology are brought to bear on the problem, morphological conditioning is not required. Within the framework of Stratal OT, we propose the Domain Reference Hypothesis, by which phonological constraints may only refer to morphological domains and their edges. In addition, we show that in Tetsǫ́t’ıné there is a correlation between phonological opacity and morphological structure, as predicted by the Stratal OT model.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.003
Scholarly communication0.0020.003
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.172
GPT teacher head0.368
Teacher spread0.196 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations12
Published2020
Admission routes1
Has abstractyes

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