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Record W4323782522 · doi:10.1515/opli-2022-0224

Lexically driven patterns of contact in alignment systems of languages of the northern Upper Amazon

2023· article· en· W4323782522 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

VenueOpen Linguistics · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicSyntax, Semantics, Linguistic Variation
Canadian institutionsUniversity of Ottawa
FundersVetenskapsrådetEuropean CommissionEndangered Languages Documentation Programme
KeywordsLinguisticsGrammarLanguage contactRelation (database)Computer sciencePhilosophy

Abstract

fetched live from OpenAlex

Abstract Despite ample attention in the literature for alignment patterns and case frames more generally, we know very little about how these elements of grammar spread from one language to another in a contact situation. Achieving a better understanding of this will help explain areal patterns in alignment and grammatical relation marking. In this contribution, we zoom in on a contact situation in the foothills of North-West Amazon, where languages of the Quechuan and Tukanoan families are in contact, and where previous authors have suggested that grammatical relation marking shows many potential contact effects. We find that, despite the absence of loanwords, abstract lexico-grammatical information associated with individual lexical items may spread from one language to another, especially within the class of sensation predicates. These can be characterized as lexically driven diffusion patterns, without formal borrowing, consistent with an overall characterization of the area’s sociolinguistics as loanword-avoiding.

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)0.002
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 score0.680
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
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 head0.032
GPT teacher head0.275
Teacher spread0.243 · 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