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Record W4389436151 · doi:10.1515/9783110755121

Polarity-Sensitive Expressions

2023· book· en· W4389436151 on OpenAlexfundno aff

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicChild Development and Digital Technology
Canadian institutionsnot available
FundersJapan Society for the Promotion of ScienceSocial Sciences and Humanities Research Council of Canada
KeywordsPolarity (international relations)Computer scienceBiologyGeneticsCell

Abstract

fetched live from OpenAlex

Polarity (positive, negative) is one of the most fundamental concepts in the system of language and there are many expressions that are sensitive to polarity. For example, any in English and wh-mo in Japanese appear in negative contexts, but not in positive contexts. While previous studies have shown that polarity-sensitive expressions are a general phenomenon in languages, it has also become clear that there are variations in polarity-sensitive expressions. This volume explores the variations in polarity-sensitive expressions through comparisons between Japanese and other languages, such as English, German, Spanish, and Old Japanese, and examines the environments and contexts in which polarity-sensitive expressions occur, as well as the types of (cross-linguistic) variation allowed. The value of the present volume lies in its inclusion of research papers inquiring into various types of polarity-sensitive expressions, such as negative-, positive-, and discourse-sensitive polarity items as well as their variations. The research indicates new directions for the study of polarity-sensitive expressions in the fields of syntax, semantics, pragmatics, historical linguistics, corpus linguistics and psycholinguistics.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.412
Threshold uncertainty score0.998

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 integrity0.0010.000
Insufficient payload (model declined to judge)0.0000.003

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 head0.036
GPT teacher head0.307
Teacher spread0.271 · 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.

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

Citations1
Published2023
Admission routes1
Has abstractyes

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