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Record W2330879767 · doi:10.14288/1.0099583

Topics in the syntax and semantics of Blackfoot quantifiers and nominals

2009· article· en· W2330879767 on OpenAlexaboutno aff
Jennifer Glougie

Bibliographic record

VenuecIRcle (University of British Columbia) · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicLinguistic Variation and Morphology
Canadian institutionsnot available
Fundersnot available
KeywordsSyntaxSemantics (computer science)Computer scienceLinguisticsProgramming languageNatural language processingArtificial intelligencePhilosophy

Abstract

fetched live from OpenAlex

In Blackfoot, DPs appear to take obligatory wide scope with respect to the universal quantifier while bare nouns take obligatory narrow scope with respect to the universal quantifier. I propose that the difference in scope-taking properties of Blackfoot nominals is a consequence of their syntactic position. I propose that over argument DPs are adjoined to the clause whereas bare nouns are base generated in an argument position. I suggest that the scope properties fall out from this distinction in the syntax. The Blackfoot universal quantifier, ohkan-, is a preverb. That is, ohkan- occurs as a part of the verb stem preceding the verb root itself. I propose that ohkan- is head of its own QP which takes the VP as its complement. I follow Sportiche (1998) in categorizing ohkan- as a stranded quantifier since it is base generated external to VP. Bare nouns, since they are generated within VP, are structurally inferior to ohkan-, since they are within its c-command domain. The adjoined DPs, however, are structurally superior to ohkan-, since they are adjoined to the clause. I propose that the structural superiority of DPs translates to their obligatory wide scope. Conversely, the structural inferiority of bare nouns translates to their obligatory narrow scope. Blackfoot is a relatively understudied Algonquian language spoken in Southern Alberta and Northern Montana. The Blackfoot data presented in this work come primarily from my own work with two Blackfoot speakers. Both of my language consultants hail from Southern Alberta speak and the Blood dialect of Blackfoot.

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.753
Threshold uncertainty score0.899

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)0.0000.000

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 head0.016
GPT teacher head0.230
Teacher spread0.215 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations9
Published2009
Admission routes1
Has abstractyes

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