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Record W7162108690 · doi:10.82308/45771

Rhyme constraints in Southern Tutchone (Dene): A focus on nominals

2023· dissertation· en· W7162108690 on OpenAlexaboutno aff
David Shanks

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsnot available
Fundersnot available
KeywordsRhymeLexicoHard rimeFocus (optics)

Abstract

fetched live from OpenAlex

Le tutchone du sud (Dän kʼè) est une langue dénée (athapascane) septentrionale qui est parlée dans le sud du Yukon. Ce mémoire, utilisant de nouvelles données cueillies en été 2022, fournit une analyse abordant les restrictions sur la forme du radical nominal. Je propose que les restrictions sur la rime soient dues à l’interaction de la quantité vocalique et en plus des traits de lieu des voyelles et des consonnes. Les radicaux nominaux sont monosyllabiques et très limités en termes de forme de rime : le schwa ne peut apparaître dans les syllabes ouvertes, seules les voyelles centrales peuvent précéder les codas et les codas possibles ne comprennent qu’un sous-ensemble de consonnes coronales. Je démontre d’abord que la distribution des voyelles est mieux modélisée en se référant à des distinctions de poids syllabique et de traits de lieu. Je démontre ensuite que les contraintes sur les séquences voyelle-coda sont mieux modélisées en faisant appel à des représentations sous-spécifiées, à des traits organisés géométriquement et au licenciement prosodique

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.169
Threshold uncertainty score0.337

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.001

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 head0.052
GPT teacher head0.391
Teacher spread0.339 · 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 designQualitative
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

Citations0
Published2023
Admission routes1
Has abstractyes

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