A qualitative study exploring researchers’ perspectives on authorship decision-making
Notice bibliographique
Résumé
Abstract Background Authorship has major implications for a researcher’s promotion and tenure, future funding, and career opportunities. Due in part to these high-stakes consequences, many journals require authors to meet formal authorship criteria, e.g. the International Committee of Medical Journal Editors (ICMJE) criteria for authorship. Yet on multiple surveys, researchers admit to violating these criteria, suggesting that authorship practices are a complex issue. Using qualitative methods, we aimed to unpack the complexities inherent in researchers’ conceptualizations of questionable authorship practices and to identify factors that make researchers vulnerable to engaging in such practices. Methods and Findings We conducted an interview study with a purposeful sample of 26 North American medical education researchers holding MD (n=17) and PhD (n=9) degrees and representing a range of career stages. We asked participants to respond to two vignettes – one portraying honorary authorship, the other describing an author order scenario – and then to describe related authorship experiences. Through thematic analysis, we found that participants, even when familiar with ICMJE criteria, conceptualized questionable authorship practices in various ways and articulated several ethical gray areas. We identified personal and situational factors, including hierarchy, resource dependence, institutional culture and gender, that contributed to participants’ vulnerability to and involvement in questionable authorship practices. Participants described negative instances of questionable authorship practices as well as situations in which these practices occurred for virtuous purposes. Participants rationalized that engagement in questionable authorship practices, while technically violating authorship criteria, could be reasonable when the practices seemed to benefit science and junior researchers. Participants described negative instances of questionable authorship practices as well as situations in which these practices occurred for virtuous purposes. Participants rationalized that engagement in questionable authorship practices, while technically violating authorship criteria, could be reasonable when the practices seemed to benefit science and junior researchers. Conclusion Authorship guidelines, such as the ICMJE criteria, portray authorship decisions as black and white, effectively sidestepping key dimensions that create ethical shades of gray. Our findings show that researchers generally recognize these shades of gray and in some cases acknowledge breaking or bending the rules themselves. Sometimes, their flexibility in applying rules of authorship is driven by benevolent aims that align with their own values or prevailing norms such as generosity and inclusivity. Other times, their participation in questionable authorship practices is framed not as a choice, but rather as a consequence of their vulnerability to individual or system factors beyond their control. Taken together, the findings reported here provide insights that may help researchers and institutions move beyond recognition of the challenges of authorship and contribute to the development of informed, evidence-based solutions for questionable authorship practices.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,086 | 0,112 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,004 | 0,003 |
| Études des sciences et des technologies | 0,018 | 0,028 |
| Communication savante | 0,013 | 0,013 |
| Science ouverte | 0,004 | 0,011 |
| Intégrité de la recherche | 0,005 | 0,008 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,001 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».