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Record W6981403713

El cuestionable empleo del gerundio en la redacción científica de los profesionales de la salud

2020· article· en· W6981403713 on OpenAlexaboutno aff

Bibliographic record

VenueDialnet (Universidad de la Rioja) · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical, Literary, and Cultural Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGerundScientific writingElement (criminal law)AdjectiveSign (mathematics)Quarter (Canadian coin)Action (physics)
DOInot available

Abstract

fetched live from OpenAlex

Background: in the scientific writing there are numerous inaccuracies that cause errors and amphibologies in the messages, including the incorrect use of the gerund, a questioned sign and even rejected by some researchers.Objective: to characterize the use of the gerund in the scientific writing of some health professionals.Methods: a descriptive investigation was carried out in the Faculty of Technology - Nursing, in Villa Clara, from20 18 to the first quarter of 2019. Theoretical methods were used: analysis-synthesis and induction-deduction; Empirical ones: documentary review as a source of primary data, questionnaire survey applied to professionals and discourse analysis in the scientific articles analyzed; and mathematics for numerical data.Results: the correct use of simultaneous and peripheral gerund was found, essentially with being; also the explanatory and ilocutive; in other situations they use it incorrectly: repeated, with subsequent action and adjective function. Some rejection was perceived towards its use in scientific documents, due to certain entrenched dogmatic conceptions, which led to questioning among researchers.Conclusions: the need for language improvement is reaffirmed, in which the use of the gerund is encouraged as an element that brings diverse nuances to the scientific text.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.735
Threshold uncertainty score1.000

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.019
GPT teacher head0.249
Teacher spread0.230 · 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
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
Published2020
Admission routes1
Has abstractyes

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