MétaCan
Menu
Back to cohort
Record W1502552837 · doi:10.1017/cbo9780511663659

Morpheme order and semantic scope word formation in the Athapaskan verb

2000· book· en· W1502552837 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.

Bibliographic record

Venuenot available
Typebook
Languageen
FieldArts and Humanities
TopicSyntax, Semantics, Linguistic Variation
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsLexiconAffixLinguisticsVerbMorphemeLexical itemWord orderComputer scienceNatural language processingScope (computer science)Word formationArtificial intelligencePhilosophy

Abstract

fetched live from OpenAlex

Athapaskan languages are well known for their intricate morphology, in particular the complexity of their verbs. The significance of these languages for linguistic theory is widely acknowledged. In this book, Keren Rice offers a rich typological survey of morpheme ordering in Athapaskan verbs, with implications for both synchronic grammar and language change. She shows that verb structure is in fact widely predictable across Athapaskan languages if appropriate syntactic factors and an overarching principle of semantic scope are taken into account. The presentation also includes a detailed study of argument and aspectual systems. This landmark volume was the first major comparative study of its type for the Athapaskan language family, combining descriptive depth with a contemporary theoretical perspective. Clear and insightful, it will interest Athapaskanists, typologists, historical and theoretical linguists alike

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 categoriesInsufficient payload (model declined to judge)
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 score0.653
Threshold uncertainty score0.996

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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.025
GPT teacher head0.224
Teacher spread0.198 · 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

Quick stats

Citations295
Published2000
Admission routes1
Has abstractyes

Explore more

Same topicSyntax, Semantics, Linguistic VariationFrench-language works237,207