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Record W4380484631 · doi:10.32714/ricl.11.01.10

Review of Bouzada-Jabois, Carla. 2021. Nonfinite Supplements in the Recent History of English. Bern: Peter Lang. ISBN: 978-3-034-34226-1. DOI: https://doi.org/10.3726/b19142

2023· article· en· W4380484631 on OpenAlexaff
Patrick Duffley

Bibliographic record

VenueResearch in Corpus Linguistics · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicLinguistics, Language Diversity, and Identity
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHistorySociologyMedia studiesHumanitiesArt

Abstract

fetched live from OpenAlex

This monograph explores subjectless -ing and -ed supplement constructions in the recent history of English from a corpus-based perspective.Supplements are defined as constructions in the clausal periphery that do not fulfil a core syntactic function within the matrix clause, and whose deletion typically does not have syntactic, semantic or grammatical consequences for either the structure or the interpretation of the clause.Despite their peripheral status, supplements are prototypically linked to the main clause in various ways.The analysis of these two very common types of non-finite supplement allows for a better characterization of the periphery of the clause in terms of more and less prototypical elements.The monograph also contributes to the description of the diachronic variation of the features that characterize the construction in Late Modern English and Present-Day English.On this level, the study reveals increasing homogeneity among supplements over time and proposes that this reflects a trend towards the regularization of the non-finite periphery in English.Chapter 1 introduces the construction which is the focus of the study and Chapter 2 presents the review of the relevant literature and a survey of the main features that characterize it, also providing a terminological overview of the concept of supplement and examining a number of features that have been used to define this concept with a view to establishing a clear-cut definition of the term and distinguishing it from other similar constructions.Chapter 3 deals with methodological issues concerning corpus linguistics in general, the corpora used for the analysis of supplements in the study, as well as the retrieval process used to build the database.Chapters 4 and 5 represent the

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)0.004
metaresearch head score (Gemma)0.077
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.655
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.077
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.161
GPT teacher head0.354
Teacher spread0.194 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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