Exploring researchers’ perspectives on authorship decision making
Notice bibliographique
Résumé
CONTEXT: Authorship has major implications for researchers' careers. Hence, journals require researchers to meet formal authorship criteria. However, researchers frequently admit to violating these criteria, which suggests that authorship is a complex issue. This study aims to unpack the complexities inherent in researchers' conceptualisations of questionable authorship practices and to identify factors that make researchers vulnerable to engaging in such practices. METHODS: A total of 26 North American medical education researchers at a range of career stages were interviewed. Participants were asked to respond to two vignettes, of which one portrayed honorary authorship and the other described an author order scenario, and then to describe related authorship experiences. Data were analysed using thematic analysis. RESULTS: Participants conceptualised questionable authorship practices in various ways and articulated several ethically grey areas. Personal and situational factors were identified, including hierarchy, resource dependence, institutional culture and gender; these 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 were used for virtuous purposes. Participants rationalised engagement in questionable authorship practices by suggesting that, although technically violating authorship criteria, such practices could be reasonable when they seemed to benefit science. CONCLUSIONS: Authorship guidelines portray authorship decisions as being black and white, effectively sidestepping key dimensions that create ethical shades of grey. These findings show that researchers generally recognise these shades of grey and in some cases acknowledge having bent the rules themselves. Sometimes their flexibility is driven by benevolent aims aligned with their own values or prevailing norms such as inclusivity. At other times participation in these practices is framed not as a choice, but rather as a consequence of researchers' vulnerability to individual or system factors beyond their control. Taken together, these findings provide insights to help researchers and institutions move beyond recognition of the challenges of authorship and contribute to the development of informed, evidence-based solutions.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,034 | 0,297 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,027 | 0,068 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,002 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,009 | 0,005 |
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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».