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Polysynthesis in Nuuchahnulth, a Wakashan Language

2017· book-chapter· en· W2795026121 on OpenAlex
Toshihide Nakayama

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueOxford University Press eBooks · 2017
Typebook-chapter
Languageen
FieldArts and Humanities
TopicSyntax, Semantics, Linguistic Variation
Canadian institutionsnot available
Fundersnot available
KeywordsLinguisticsMorphemePredicate (mathematical logic)VerbComputer scienceWord formationPhilosophy

Abstract

fetched live from OpenAlex

Abstract Nuuchahnulth is a Southern Wakashan language spoken in British Columbia, Canada. It is a verb-initial head-marking language and is almost exclusively suffixing morphologically. The language exhibits polysynthesis involving holophrasis but does not allow compounding. Instead, it has numerous suffixes with heavy lexical content, traditionally termed ‘lexical suffixes’. This lexical suffixation serves as the central mechanism in Nuuchahnulth for bringing multiple lexically heavy morphemes into a word. The complexity of actual polysynthetic words in this language seems rather limited compared to what is reported to be possible in Eskimo languages. There are cases where similar semantic content can be expressed either synthetically using a polysynthetic word or analytically as separate words. When such an alternation is possible, discourse-pragmatic considerations, particularly discourse referentiality of the object of the predicate, play a major role in the choice of constructions.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.985
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0010.000
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 head0.033
GPT teacher head0.212
Teacher spread0.179 · 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