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Perceptions of research integrity and open science practices: a survey of Brazilian dental researchers

2024· article· en· W4405422013 on OpenAlexaff
Jaisson Cenci, Marina Christ Franco, Tatiana Pereira‐Cenci, Marcos Britto Corrêa, Lucas Helal, David Moher, L.M. Bouter, M.C.D.N.J.M. Huysmans, Maximiliano Sérgio Cenci

Bibliographic record

VenueBrazilian Oral Research · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicAcademic integrity and plagiarism
Canadian institutionsOttawa Hospital
Fundersnot available
KeywordsSurvey researchDental researchResearch integrityPerceptionMEDLINEPsychologyMedicineDentistryApplied psychologyEngineering ethicsPolitical scienceEngineering

Abstract

fetched live from OpenAlex

The objective of this study was to evaluate Brazilian dental researchers' perceptions of research integrity and open science practices, as well as their perceptions of the way researchers are evaluated for promotion, hiring, and receiving grants. In a self-administered online survey, the respondents were presented with 3 questions on researcher evaluation in Brazil. Additionally, for 25 academic activities or characteristics, researchers rated their perceived importance for a) career advancement, b) science advancement, c) personal satisfaction, and d) social impact. The questionnaire was sent to a total of 2,179 dental researchers working in graduate programs in dentistry in Brazil. Multilevel regressions were performed to statistically confirm the differences between the predefined subgroups. Three hundred and fifty-five (16%) researchers completed the survey. Most respondents (96.1%) considered the current evaluation system to be flawed and indicated the need for improvement. Non-traditional activities were considered more important than traditional ones for science advancement (p < 0.01), and social impact (p < 0.01), whereas traditional activities were perceived to be more important only for career advancement (p < 0.01). Although Brazilian dental researchers recognize the value of open science and research integrity practices for science advancement and impact on society, they perceive that the current evaluation system emphasizes traditional activities, such as publishing many papers in well-recognized journals as criteria for advancing their careers.

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)0.178
metaresearch head score (Gemma)0.090
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch, Science and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.270
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.1780.090
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.009
Science and technology studies0.0020.019
Scholarly communication0.0010.002
Open science0.0040.003
Research integrity0.0010.008
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 head0.443
GPT teacher head0.599
Teacher spread0.156 · 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

Citations3
Published2024
Admission routes1
Has abstractyes

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