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Record W2907104590 · doi:10.5539/ijel.v9n1p1

English Phraseological Research on Until By/ Before Working as Complex Prepositions

2018· article· en· W2907104590 on OpenAlexvenueno aff
Ai Inoue

Bibliographic record

VenueInternational Journal of English Linguistics · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicLexicography and Language Studies
Canadian institutionsnot available
FundersJapan Society for the Promotion of Science
KeywordsLinguisticsMeaning (existential)PhenomenonPhraseContext (archaeology)Computer scienceFunction (biology)Process (computing)Natural language processingPsychologyHistoryPhilosophyEpistemologyBiologyProgramming language

Abstract

fetched live from OpenAlex

This corpora-based study shows that until by and until before, which are newly observed phraseological units (PUs) in contemporary English, function as complex prepositions (CPs). As an interesting phenomenon of present-day English, two prepositions are put together with a single meaning. Specifically, the prepositions in and on co-occur with various other prepositions, and each resulting prepositional phrase becomes established as a new CP with a single meaning like in at or in on. The combinations until by and until before have not been widely acknowledged and have been regarded as mistakes in previous studies. This study shows the meanings of the two phrases, the process of their establishment as new CPs and the way they gained their new meanings. To this end, the study carries out the following research procedures: (i) showing the frequencies of until by and until before in corpora from the synchronic and diachronic perspectives; (ii) differentiating until by and until before by semantically and syntactically clear regarding how until by and until before are used in context; and (iii) showing the kinds of prepositions that are used with until to form PUs as well as CPs.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.009
Science and technology studies0.0020.004
Scholarly communication0.0030.008
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.094
GPT teacher head0.366
Teacher spread0.272 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations4
Published2018
Admission routes1
Has abstractyes

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Same venueInternational Journal of English LinguisticsSame topicLexicography and Language StudiesFrench-language works237,207