Notice bibliographique
Résumé
Evidence based librarianship: we hear about it, we read about it, some of us practice it, some of us aren’t quite sure what it’s allabout. Information about EBL is relatively prolific of late and can be found in numerous journals, websites and books. It is indexed in databases and article indices across the disciplinary board – MEDLINE, CINAHL, ERIC, PsycInfo, DOIS, LISTA, etc. Evidence Based Library and Information Practice is the first journal whose primary focus is on EBL: what it is, how it affects the decisions we make, how we look at and perform research, and how it allows us to make more informed decisions based on the best available evidence. EBLIP, not unlike the practice of EBL, is international in scope and unlimited in its application and utility. Getting EBLIP off the ground has been a fascinating and rewarding experience, and I have several key people to thank for making the process seamless and satisfying. EBLIP is the brainchild of Su Cleyle, of MemorialUniversity of Newfoundland and Denise Koufogiannakis, of the University of Alberta. Su and Denise got the ball rolling early in 2005 while researching EBL on sabbatical and quickly pulled together an enthusiastic team of editors. As original Editor‐in‐Chief, Su’s vision, drive and unbeatable organization resulted in EBLIP becoming a reality more quickly and completely than we could have imagined. As Associate Editor (Evidence Summaries), Denise has begun to compile and disseminate a significant and highly useful collection of critically appraised synopses of research articles. The Evidence Summaries section allows EBLIP to reach well beyond publishing research and adds a component that our field has, until now, been lacking. In addition to her tireless work in this area, I thank Denise for keeping the momentum going throughout the entire start‐up process. EBLIP is published by University of Alberta Learning Services using OJS (Open Journal Systems). We are very fortunate to have Pam Ryan, from the University of Alberta, as our Production Editor. In addition to the mammoth task of creating an open access, peer reviewed electronic journal, we also were faced with the tasks of familiarizing ourselves with new software and creating a visual appearance. Pam’s knowledge, ability and creativity, not to mention her endless patience with the rest of the editorial team, have resulted in the professional presence of EBLIP. Her work is not transparent to the readers, but paramount to the editorial team and the journal. Finally, I would like to draw attention to two teams that are essential to the success of EBLIP: the Evidence Summaries Team and the Editorial Advisors (peer reviewers). The diversity, specialization and professionalism of the teams’ membership allow us to explore all avenues of EBL and its practice and utility in all environments. Members from our teams range from journal editors to university professors to school and systems librarians. Their contributions, not only to EBLIP but also to the body of EBL knowledge, are substantial. As readers, I hope that you will find the information in EBLIP useful, interesting, provocative, and applicable to your work. I hope that you will be able to use the information we present to you to aid in your decision making regarding policies, collections, procedures, marketing, etc., and I particularly look forward to hearing how you may have used this information in your practice (whether it worked or not!).
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 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 | 0,004 | 0,033 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,003 | 0,002 |
| Études des sciences et des technologies | 0,002 | 0,002 |
| Communication savante | 0,009 | 0,005 |
| Science ouverte | 0,003 | 0,003 |
| Intégrité de la recherche | 0,006 | 0,006 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,348 | 0,215 |
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 ».