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Record W7135336822

Effects on the Particle Verb Alternation

2012· report· W7135336822 on OpenAlexaboutno aff
Bill Haddican, Daniel Ezra Johnson

Bibliographic record

VenueScholarly Commons (University of Pennsylvania) · 2012
Typereport
Language
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsVerbObject (grammar)Alternation (linguistics)Order (exchange)Factor (programming language)First order
DOInot available

Abstract

fetched live from OpenAlex

This paper examines regional and grammatical effects on the English particle verb alternation. We report on a judgment experiment and a Twitter corpus study designed to address Hughes et al.’s (2005) claim that the continuous order is favored in Scotland while the discontinuous order is favored in Southern England. The results from both the acceptability judgment study and the Twitter corpus revealed no support for a North-South difference across UK dialects, but instead show a trans-Atlantic difference: respondents from the UK and Ireland favored discontinuous orders while US and Canadian participants favored continuous orders. Based on a preliminary analysis of historical corpus data, we speculate that this difference reflects change toward an innovative discontinuous order that has proceeded more quickly in Old World dialects than in North America. Other effects tested in the judgment study were the information-structural factor of object givenness, which did not prove significant, and the prosodic factor of object weight, which had the anticipated negative effect on the discontinuous order while also showing an unexpected positive effect on the continuous order.

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)0.008
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.287
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.002
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0030.001
Scholarly communication0.0010.007
Open science0.0050.002
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0030.023

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 head0.063
GPT teacher head0.249
Teacher spread0.186 · 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; both teacher heads agree on what is shown here.

Study designObservational
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

Citations0
Published2012
Admission routes1
Has abstractyes

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