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Record W2890058560 · doi:10.1075/lic.17009.lop

The use of -<i>ing</i> and -<i>ndo</i> forms in sales contracts

2018· article· en· W2890058560 on OpenAlexaff
Belén López Arroyo, Roda P. Roberts, Leticia Moreno Pérez

Bibliographic record

VenueLanguages in Contrast · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicTranslation Studies and Practices
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsVariety (cybernetics)BusinessLinguisticsComputer scienceArtificial intelligencePhilosophy

Abstract

fetched live from OpenAlex

Abstract This paper analyzes the use of the - ing and - ndo forms in English and Spanish in sales contracts. More specifically, it aims to answer three questions: 1. Do the - ing and the - ndo forms occur more frequently in sales contracts than in general language? 2. Do English sales contracts contain more - ing forms used in more syntactic functions than the Spanish - ndo in Spanish sales contracts? 3. Are both the - ing forms and the - ndo forms found in all or most parts of the sales contracts retained for this study? Our study is based on two comparable corpora of English and Spanish: a legal corpus containing sales contracts, and a general corpus. Our corpora provide the following answers to the questions posed: 1. Both the - ing and the - ndo forms occur more frequently in sales contracts than in general language; 2. There are more - ing forms in English sales contracts than there are - ndo forms in Spanish sales contracts, but in both cases, they are used in a variety of syntactic functions; 3. Both the - ing forms and the - ndo forms are found in most parts of the sales contracts used in this study.

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 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 score0.975
Threshold uncertainty score0.912

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 integrity0.0000.000
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 head0.051
GPT teacher head0.285
Teacher spread0.234 · 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.

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

Citations3
Published2018
Admission routes1
Has abstractyes

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