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Record W3160366104 · doi:10.1017/s095439452100003x

<i>Be that as it may</i>: The Unremarkable Trajectory of the English Subjunctive in North American Speech

2021· article· en· W3160366104 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueLanguage Variation and Change · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicLinguistic Variation and Morphology
Canadian institutionsUniversity of OttawaUniversity of Toronto
Fundersnot available
KeywordsAdverbialLinguisticsHistoryAmerican EnglishPerspective (graphical)PhilosophyComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

Abstract The English subjunctive has had a checkered history, ranging from extensive use in Old English to near extinction by Late Modern English. Since then, the mandative variant was reported to have revived, while the adverbial subjunctive continued to diminish. American English is heavily implicated in these developments; it is thought to be leading the revival of the former but lagging in the decline of the latter. Observing that most references to these changes are based on the written language, we examine the diachronic trajectory of the subjunctive in North American English speech. Adopting a variationist perspective, we carried out systematic quantitative analyses of subjunctive use under hundreds of triggers. Results show that, despite the differences in their diachronic trajectories, today both types are not only extremely rare but heavily lexically constrained. We implicate violations of the Principle of Accountability in the disparities between the findings reported here and the consensus in the literature with respect to subjunctive use in North American English.

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)0.000
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 score0.858
Threshold uncertainty score0.970

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.033
GPT teacher head0.291
Teacher spread0.258 · 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