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Enregistrement W2092579923 · doi:10.5489/cuaj.12126

Ethics in publishing

2012· article· en· W2092579923 sur OpenAlexvenueno aff
John M. Fitzpatrick

Notice bibliographique

RevueCanadian Urological Association Journal · 2012
Typearticle
Langueen
DomaineMedicine
ThématiqueHealth and Medical Research Impacts
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPublishingSociologyLibrary sciencePolitical scienceComputer scienceLaw

Résumé

récupéré en direct d'OpenAlex

It was very interesting to read this paper on duplicate publications. It is just one of many transgressions which can potentially ruin someone’s academic career. In this study, original articles published in the Journal of Urology in 2006 were reviewed and the incidence of redundancy was found to be gratifyingly low.1 In the rather pressurized world of academic urology it may be tempting to an individual to improve their curriculum vitae without adhering to the rigours of academic probity by, in effect, cheating in some way. It may seem like an easy option but if it is detected, the consequences for the individual will be very serious. As an editor of an academic journal, I have, like all editors, to keep an eye out for duplication of publications, plagiarism, self-plagiarism and, the worst of all, scientific fraud. Regrettably, I have seen evidence of all of these during my time as editor. Plagiarism is relatively uncommon, but does occur. On one occasion, I was sent a manuscript about a rather abstruse topic and on the advice of one of my Assistant Editors I sent it to two reviewers, neither of whom I know. One of them wrote back to say that he had several comments to make about the paper, not the least of which was that the author had “borrowed” rather a lot from a paper that he had written previously. In fact, when we applied the technology to verify this, it was clear that 75% of the manuscript overlapped the reviewer’s previous paper. This episode of plagiarism had been discovered quite by chance and resulted in the author being reported to the Dean of his medical school and his being banned from publishing in the four main urological journals for an extended period of time. Self-plagiarism is a very easy mistake to make, particularly by the younger and less-experienced. It is easy to think that one can cut and paste several paragraphs from previous papers that the author has written, and that this will not be noticed. It will. There are very effective software technologies which are now routinely applied to every manuscript that is submitted that if is relatively easy to discover when self-plagiarism has taken place. Sadly, the person who makes this mistake may once again be subjected to the rigours of the publishing laws. It’s very important that everybody, and particularly young and inexperienced researchers who may not be fully aware that this is not permitted, realize the consequences of such a mistake. Scientific fraud is awful, with frightful consequences not only for the perpetrator, but also for everyone else in the department, particularly the head of that department. It is in many ways like athletes taking drugs to enhance performance and having an unfair advantage over their competitors. It is relatively uncommon and, I feel confident when I say this, is likely to be discovered. The article which has appeared in this issue of the CUAJ refers exclusively to “duplicate publications,” but I have taken the liberty to widen the discussion to other time-consuming problems. One of the more perplexing aspects of duplicate publications is “salami-slicing,” which the authors define in this manuscript as “portions of an index article repeated or continued.”1 It is particularly difficult to decide the validity of publications which describe case-series (level of evidence 4, by the way) of the first 500, then the first 1000, and so on. These series are repetitive of data and probably should not be sent out for review. The legality of “salami-slicing” is questionable and needs to be discussed further, as it may well be on the increase. I apologize to CUAJ readers for ranting on about this. Receiving excellent submissions is one of the joys of editorship and this has given me great pleasure over the past 10 years as Editor-in-Chief of the BJU International. Unfortunately, on occasion, the trust implicit in this relationship is sometimes broken. As an editor, I have to make sure that the product is of the highest quality; the journal must be educational, entertaining and free of any potential irregularities as described by Hennessey and colleagues.1 Increasingly, new technology is being developed which will prevent ethical breaches from taking place. We all must ensure that the highest academic standards are maintained and that the highest ethical standards are rigorously applied to what we publish.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,047
score de la tête « metaresearch » (Gemma)0,157
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Intégrité de la recherche
Catégories consensuellesaucune
DomaineSignal candidat: Évaluation · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Commentaire · Signal consensuel: aucune
Score de désaccord entre enseignants0,989
Score d'incertitude au seuil0,248

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0470,157
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0030,004
Études des sciences et des technologies0,0090,030
Communication savante0,0310,018
Science ouverte0,0020,011
Intégrité de la recherche0,0110,013
Charge utile insuffisante (le modèle a refusé de juger)0,0320,018

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,187
Tête enseignante GPT0,405
Écart entre enseignants0,218 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Devis d'étudeSans objet
DomaineÉvaluation
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2012
Routes d'admission1
Résumé présentoui

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