Confused about copyright? Assessing Researchers’ Comprehension of Copyright Transfer Agreements
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Notice bibliographique
Résumé
INTRODUCTION Academic authors’ confusion about copyright and publisher policy is often cited as a challenge to their effective sharing of their own published research, from having a chilling effect on selfarchiving in institutional and subject repositories, to leading to the posting of versions of articles on social networking sites in contravention of publisher policy and beyond. This study seeks to determine the extent to which authors understand the terms of these policies as expressed in publishers’ copyright transfer agreements (CTAs), taking into account such factors as the authors’ disciplines and publishing experience, as well as the wording and structure of these agreements. METHODS We distributed an online survey experiment to corresponding authors of academic research articles indexed in the Scopus database. Participants were randomly assigned to read one of two copyright transfer agreements and were subsequently asked to answer a series of questions about these agreements to determine their level of comprehension. The survey was sent to 3,154 participants, with 122 responding, representing a 4% response rate. Basic demographic information as well as information about participants’ previous publishing experience was also collected. We analyzed the survey data using Ordinary Least Squared (OLS) regressions and probit regressions. RESULTS AND DISCUSSION Participants demonstrated a low rate of understanding of the terms of the CTAs they were asked to read. Participants averaged a score of 33% on the survey, indicating a low comprehension level of author rights. This figure did not vary significantly, regardless of the respondents’ discipline, time in academia, level of experience with publishing, or whether or not they had published previously with the publisher whose CTA they were administered. Results also indicated that participants did equally poorly on the survey regardless of which of the two CTAs they received. However, academic authors do appear to have a greater chance of understanding a CTA when a specific activity is explicitly outlined in the text of the agreement.
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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 | 0,005 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,008 | 0,114 |
| Science ouverte | 0,004 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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 découle