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Phraseology and Polysynthesis

2017· book-chapter· en· W2905223311 on OpenAlexaff
Sally Rice

Bibliographic record

VenueOxford University Press eBooks · 2017
Typebook-chapter
Languageen
FieldSocial Sciences
TopicLinguistic Variation and Morphology
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsLinguisticsPhraseologyConversationContext (archaeology)Focus (optics)Computer scienceHistoryPhilosophy

Abstract

fetched live from OpenAlex

Abstract Polysynthetic languages are overwhelmingly oral. Oral languages are typically associated with small speaker groups describable as local and inward-oriented, a sociolinguistic context which is claimed to have structural effects on the language. The recent corpus revolution in linguistics has caused a renewed focus on spoken varieties of languages, even languages with thick and deep written records. Corpus analyses come with a concomitant realization that languages may be less productive and compositional than we thought, with speakers opting for a smallish set of lexically frozen and semantically opaque (though pragmatically rich) collocations. In this contribution, it is shown that collocations from spoken varieties of English can be characterized in terms similar to those classically used to describe polysynthetic languages: holophrastic, highly compressed, and idiomatic. At the same time, the compressed structures we associate with polysynthetic languages are considered as artefacts of their speakers’ socio-cultural contexts, contexts which revolve around subjective, face-to-face conversation.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.993
Threshold uncertainty score0.662

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 studies0.0010.001
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 head0.039
GPT teacher head0.256
Teacher spread0.217 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations24
Published2017
Admission routes1
Has abstractyes

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