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Enregistrement W2196609962 · doi:10.18438/b8q01n

LIS Periodicals Contain a Low Percentage of Articles that Qualify as Research

2015· article· en· W2196609962 sur OpenAlexaffvenue
Richard Hayman

Notice bibliographique

RevueEvidence Based Library and Information Practice · 2015
Typearticle
Langueen
DomaineComputer Science
ThématiqueWeb visibility and informetrics
Établissements canadiensMount Royal University
Organismes subventionnairesnon disponible
Mots-clésLibrary scienceContent analysisScope (computer science)Subject (documents)Collection developmentComputer scienceSociologySocial science

Résumé

récupéré en direct d'OpenAlex

A Review of: Turcios, M. E., Agarwal, N. K., & Watkins, L. (2014). How much of library and information science literature qualifies as research? Journal of Academic Librarianship, 40(5), 473-479. http://dx.doi.org/10.1016/j.acalib.2014.06.003 Objective – To determine how much of the literature in a library and information science (LIS) periodical collection qualifies as research. Design – Content analysis. Setting – The LIS periodicals collection of an academic library that supports an established LIS graduate program at a college in the United States of America. Subjects – Of the 177 identified periodicals with LIS content that fell within project scope from the local collection, researchers analyzed 101 journals that include academic/scholarly content and an additional 4 journals with relevant trade content. This study excluded open access (OA) journals. Methods – Using the most recent issue of each subject journal from the fiscal year 2012-2013, the authors performed a content analysis on all indexed content items, and then classified each content item as research or non-research. For content identified as research, researchers identified the research method (or methods) used. The data collection tool also captured identifying information and keywords for all content. Main Results – Within the journals meeting the scope of this study, researchers identified 1,880 articles from 105 individual journal issues. Only 16% (n=307) of articles met the authors’ established definition to qualify as research. Within the subset of research articles, the authors further identified 45% (n=139) that used a single research method. An additional 36% (n=112) of identified research articles used two research methods and 15% (n=46) used three methods, with the remainder using four or more methods. Surveys were the most frequently used research method, accounting for 49% (n=66) of the single method studies. The researchers discovered that surveys remained popular even in mixed-method studies, with 21% (n=117) of all identified research articles using surveys. This is closely followed by 20% (n=109) of studies reported as using the general category of “other” methods, for research that did not meet one of the predefined methods. The next two most popular identified methods were case studies at 13% (n=73), followed by content analyses at 13% (n=71). For the eight other research methods identified, none saw a frequency above 10%. Focus groups and usability studies tied for the least frequently used method among the 307 articles, both at 2% (n=9). The keyword analysis focused on two categories, one for research article keywords and another for non-research article keywords, for all 1,880 articles identified. Non-research articles had less reliance on keywords, with authors reporting keywords appearing on 73% (n=1156). Within these, authors discovered 120 separate keywords used 10 or more times across non-research articles. The top ten keywords among non-research articles were reported as primarily related to books and publishing, with “non-fiction,” “adult,” and “libraries” as the top three. By comparison, research articles heavily favour the use of keywords, with 94% (n=290) of research articles having keywords. Analysis of the individual keywords found 56 keywords appearing 10 or more times across research articles. The top ten keywords are primarily practice related, with “information,” “libraries,” and “library” being the top three. When comparing shared keywords across both categories, the same top three keywords reported for research in the previous sentence apply to the collective set. Conclusion – The authors note that the nature and size of the local collection both benefited and limited this study. Compiling and maintaining a comprehensive list of LIS periodicals is a challenging task across a large body of potential sources. Within the resulting periodicals studied, a mere 16% of analyzed LIS literature met the criteria to qualify as research, and that only after the study had eliminated virtually all trade periodicals from the population. Had that trade literature been included, the percentage qualifying as research would have been even lower. The popularity of surveys as a research method among LIS research reflects other recent findings, though the frequency of studies falling into the general “other” category suggests that LIS research is changing. Based on this research, the authors conclude that there is still much to be learned from content analysis of literature published in LIS periodicals. Future analyses could further examine the frequency of research methods used within LIS research.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,076
score de la tête « metaresearch » (Gemma)0,373
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Bibliométrie
Catégories consensuellesaucune
DomaineSignal candidat: Évaluation · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,924
Score d'incertitude au seuil0,400

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0760,373
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0030,002
Bibliométrie0,1010,096
Études des sciences et des technologies0,0050,006
Communication savante0,0230,011
Science ouverte0,0030,008
Intégrité de la recherche0,0030,001
Charge utile insuffisante (le modèle a refusé de juger)0,0280,031

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.

Tête enseignante Opus0,101
Tête enseignante GPT0,362
Écart entre enseignants0,261 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Devis d'étudeObservationnel
DomaineÉvaluation
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2015
Routes d'admission2
Résumé présentoui

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