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Record W4387058119 · doi:10.33137/twpl.v45i1.41669

Nominal linkers in Central Kurdish (Silemānī variety)

2023· article· en· W4387058119 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.
fundA Canadian funder is recorded on the work.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueToronto Working Papers in Linguistics · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicLinguistics and Cultural Studies
Canadian institutionsUniversity of Toronto
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsDefinitenessNoun phrasePluralLinguisticsVariety (cybernetics)LinkerMathematicsPhraseComputer scienceNatural language processingArtificial intelligenceNounPhilosophyProgramming language

Abstract

fetched live from OpenAlex

Focusing on the Silemānī variety of Central Kurdish, this paper explores the distribution of modifiers, possessors, and arguments within the noun phrase as well as the linking vowels that precede these elements. The position of modifiers and the form of the linker both differ in indefinite and definite noun phrases. In indefinite phrases, modifiers follow the plural and indefinite suffixes and appear with a linker of the form -ī. In definite phrases, modifiers precede the plural and definite suffixes and appear with a linker of the form -a. Since an -a linker is found in many compounds, we also consider general issues of modification versus compounding in Central Kurdish. Finally, possessors and arguments do not show sensitivity to definiteness. In all noun phrases, possessors and arguments occur after number and definiteness morphology with a linker of the form -ī.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.979
Threshold uncertainty score0.970

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.034
GPT teacher head0.247
Teacher spread0.214 · 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