Notice bibliographique
Résumé
Introduction A number of previous studies have collected data on a hospital’s use of databases and the librarian’s role in the process. These studies express common themes and suggest activities for librarians wishing to promote the use of new technologies. The first theme: While it seems clear that some physicians are competent and satisfied users of new computer search systems, many more, unfortunately, are unaware of the potential time saving features and powerful search capabilities of their search systems. Health sciences librarians have been advocating the use of indexes and abstracts for as long as these products have been available. More than twenty years ago, the National Library of Medicine pioneered online access to the literature with the introduction of Medlars online (Medline). Medline initially consisted of a subset of 236 of the top medical journals indexed in Index Medicus and was viewed as an interesting supplement to manual searching; it now is used routinely as the preferred method of access by thousands of Librarians and health care professionals. Some faculty, though, still rely on the traditional methods of asking a colleague, scanning a personal copy of a journal and, of course, going to the library. Traditionally, CD-ROM systems were only available in the library and doctors and librarians met each other there to discuss problems for searching. The results of a Canadian survey indicated that physicians in Ontario made little use of Libraries because they had no time to search for information beyond that they could obtain quickly from colleagues or from reference material in their own collections. Other studies found that the primary reason of a clear preference for hospital libraries, either medical school or medical society libraries where information was used for both clinical and research purposes, was that the library was the most important place of locating printed sources on which doctors still rely for browsing the literature. Over the past few decades, the role of the medical librarian has become increasingly complex, due to the explosion of information, and the way information is now digitized, libraries are increasingly virtual. Now the additional problem is that clinicians need information but not any information. They need evidence from high quality research. The information is available, but they may have not time to search effectively. To meet their needs, the librarian must adopt the role of going out of the library to meet the clinicians, themselves.
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 | 0,001 | 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 | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 tête enseignante, 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 ».