Scholarly Metrics under the Microscope: From Citation Analysis to Academic Auditing
Notice bibliographique
Résumé
Blaise Cronin and Cassidy R. Sugimoto., eds. Scholarly Metrics Under the Microscope: From Analysis to Academic Auditing. Series: ASIST Monograph. Medford: Information Today. 2015. 976 pp. ISBN-13: 978-1573874991What began life as a tool for retrieving the literature of science, ..., has become, unwittingly, the basis of a system for calibrating scientific performance and shaping careers, (Cronin and Sugimoto).This quote will resonate with many academics/researchers. Given the current emphasis on performance and reputation building, as demonstrated by academics' on-going quest to increase citation rates and h-index, it is easy to lose sight of the original intent of citation indexes; even more so when one discovers that some administrators in academe see a relationship between salaries and citation rates (Jonker and Hicks).This book consists of a representative cross-section of writings published on scholarly metrics between 1955 and 2014 and is meant to serve as a one-stop resource that focuses on the theoretical, conceptual, methodological, and ethical concerns associated with scholarly metrics. It is also a comprehensive and critical reader of the birth and development of scholarly metrics as reflected in the literature. The papers (55 of them) are essentially reprints of the originals as only minimal changes (such as the removal of fax numbers, e-mail addresses and such) were made.The documents are not arranged in chronological order, but the first one takes the reader back to the 1955 paper by Eugene Garfield: Citation Indexes for Science: A New Dimension in Documentation Through Association of Ideas, originally published in Science. Reading this paper reminds one that the original intent was to create a tool for literature research, to provide researchers with the ability to trace the origin of ideas and to eliminate the uncritical citation of fraudulent, incomplete or obsolete data by making it possible for the conscientious scholar to be aware of criticisms of earlier papers. (Cronin and Sugimoto).In working through this volume, the variety of readings is refreshing. The editors collected scholarly papers, editorial commentaries, blog posts, and letters that elucidate current trends and explain the history of how we arrived at the various applications of scholarly metrics.This mammoth work, comprising almost 1000 pages, is arranged according to six different themes: 1) and theories, 2) Validity issues, 3) Data sources, 4) Indicators, 5) Science policy, and 6) Systemic effects. Each section consists of between seven and eleven contributions. As the editors indicate in the introduction, one could possibly argue for a different arrangement of these papers according to different criteria, but these themes appear to work well enough to produce a framework that is conducive to exploring the breadth and depth of scholarly metrics and its many variants The editors start each of the six sections with a scene-setting introduction which is helpful in providing additional context for the papers collected in that specific section. It is also beneficial to have the goals of the section presented to the reader in these introductions.In the first section, Concepts and Theories, some attention is given to the problems arising from the way in which citations are used. It is pointed out that references to other papers are done for various reasons, and that counting and comparing the numbers of citations would be a valid exercise only if these references were normatively governed and consistently applied. However, since such behaviour is inherently subjective, depending on circumstance and authors' motivation, the use thereof for faculty evaluations is highly questionable at best. Some attention is also given to more recent developments, such as webometrics and altmetrics, pointing out that there are many questions that remain unanswered in the use of these metrics. …
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Comment cette classification a été obtenuedéplier
Étiquettes directes de modèles (non validées)
Étiquettes de catégorie et de devis d'étude par modèle, issues des rondes d'étiquetage. C'est une sortie machine, non validée, et le désaccord entre modèles est livré comme donnée. Aucun devis ici n'est encore validé contre MEDLINE.
| Bras | Catégories | Devis d'étude | Confiance |
|---|---|---|---|
| gemma | MétarechercheBibliométrie Domaine: Évaluation · Genre: Empirique Porte sur le système de recherche canadien: non · Porte sur un sujet canadien: non | Sans objet | low |
| gpt | BibliométrieMétarecherche Domaine: Évaluation · Genre: Commentaire Porte sur le système de recherche canadien: non · Porte sur un sujet canadien: non | Sans objet | low |
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 | 0,063 | 0,106 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,034 | 0,105 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,017 | 0,042 |
| Science ouverte | 0,001 | 0,000 |
| 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 découleClassification
machine, non validéeÉtiqueté directement par 2 modèles lisant le dossier complet.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».