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Record W2125443726

Stress-induced Vowel Lengthening and Harmonization in Kumzari

2013· article· en· W2125443726 on OpenAlexaff
Erik Anonby

Bibliographic record

VenueKTH Publication Database DiVA (KTH Royal Institute of Technology) · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicLanguage, Linguistics, Cultural Analysis
Canadian institutionsCarleton University
Fundersnot available
KeywordsSuffixPluralLinguisticsCliticVowelNounStress (linguistics)Locative caseHistoryMathematicsComputer sciencePhilosophy
DOInot available

Abstract

fetched live from OpenAlex

This paper presents the morphophonological effects of four suffixes on noun stem vowels in Kumzari: thesimple plural suffix -an, the existential plural clitic -in, the definite suffix -ō, and the indefinite suffix -ē.Two of the suffixes (-an and -ō) have an effect on the stress placement of their host stem. This results inan array of alternations which may be generalized as lengthening of the stem’s final vowel and, in the caseof -ō, harmonization of the stem’s final vowel to that of the suffix. The remaining two suffixes (the clitic-in and the suffix -ē) are included in this study to emphasize the role of stress placement in vowel alternationsin Kumzari: although -in and -ē are segmentally and semantically analogous to the first two suffixes– and, in the case of -ē, morphosyntactically equivalent – they have no effect on stress placement and consequentlydo not precipitate vowel lengthening or harmonization.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.027
GPT teacher head0.240
Teacher spread0.212 · 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

Citations5
Published2013
Admission routes1
Has abstractyes

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Same venueKTH Publication Database DiVA (KTH Royal Institute of Technology)Same topicLanguage, Linguistics, Cultural AnalysisFrench-language works237,207