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Record W3020177893 · doi:10.1007/s10828-020-09115-z

Stability and attrition in American Norwegian nominals: a view from predicate nouns

2020· article· en· W3020177893 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.

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

VenueThe Journal of Comparative Germanic Linguistics · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicSyntax, Semantics, Linguistic Variation
Canadian institutionsnot available
FundersUniversitetet i Bergen
KeywordsNorwegianLinguisticsNounPredicate (mathematical logic)GrammarAttritionPossessiveLinguistic changeSyntaxLanguage changeLanguage contactPsychologyHistoryComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

Abstract This study investigates the extent to which speakers of American Norwegian (AmNo), a heritage language spoken in the United States and Canada, use the indefinite article in classifying predicate constructions (‘He is (a) doctor’). Despite intense contact with English, which uses the indefinite article, most AmNo speakers have retained bare nouns, i.e., the pattern of Norwegian as spoken in Norway. However, a minority of the speakers use the indefinite article to some extent. I argue that generally, this use of the indefinite article has arisen through attrition (i.e., a change during the lifetime of individuals), not through divergent attainment causing systematic, parametric change in the Norwegian grammar of these speakers. I also argue that representational economy is one of the factors that may have contributed to the relative stability of bare nouns.

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.607
Threshold uncertainty score0.491

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.099
GPT teacher head0.298
Teacher spread0.199 · 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