How Grey Literature Informs Policy and Decision Making: The Necessity to Understand \nthe Processes
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Notice bibliographique
Résumé
Effective advocacy for grey literature must be based on understanding the environments in which it is used. As advances in communications technologies continue to occur at seeming breath-taking pace, all forms of information are being affected. Evolving publication practices are presenting new communication opportunities, in addition to disruptions of established patterns, as long-standing genres are being reshaped by powerful technological and societal changes. Disruptions can cause discomfort and anxiety, but opportunities to promote the value of particular information genres also arise. Grey literature, for example continues to be produced in large quantities, which suggests that its importance in communication may be increasing rather than diminishing. Advocates of grey literature may believe this genre is undervalued or misunderstood, but lobbying for grey literature in the absence of understanding the contexts in which it is or can be used will likely fail unless information activity in those settings is understood. One prominent context encompasses public policy and decision making where grey literature is often present but typically not noticed. Policy and decision-making are notably complex processes and increasing attention is being placed on developing an understanding of the research-policy interface and evidence-based policy making in particular. Conferences (e.g., Science Advice to Governments, Auckland, New Zealand, August 2014), evidence information services (e.g., one launched in the United Kingdom in 2014), research programs and institutes (e.g., Environmental Information: Use and Influence, Dalhousie University), and other initiatives emphasize the importance of understanding the relationship between research and policy, a sometimes contentious and even dysfunctional activity. Drawing on findings from research conducted within the Environmental Information: Use and Influence research program, which involves governmental, intergovernmental, and non-governmental organizations, we outline roles for grey literature in policy and decision-making contexts. We note, for example, types of grey literature used in these contexts, we identify preferences for specific features of useable information by managers and policy makers, and we outline pathways of research evidence, some of which is produced as grey literature. Information use is a non-trivial phenomenon that must be understood in advance of advocating the value of grey literature.
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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 | 0,006 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,005 | 0,004 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 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