Open Access to Sri Lankan Scholarly Publications: a web survey of Sri Lankan Journals Online and e-Repositories
Notice bibliographique
Résumé
Scholarly publication has still been a challenge to young academics that are yearning for sharing their works in high-impact journals. One of the challenges to access to reputed databases is their high subscription rates. Next discouraging factor is that many of these journals charge article processing fees at varying amounts, which are unaffordable to authors with inadequate income background. In general, universities/institutions do not support to pay the publications fees. Thirdly, not every author is better at his/her first attempt to get their works accepted since they need training and experience to master the academic writing. Although the authors find ways to publish their research in renowned journals, their universities are finding it difficult to subscribe to those expensive information resources. Therefore, open access has become not only an advantage to academic institutions that are deprived of adequate budgetary allocations for subscriptions but also a relief to novice academic writers. In this line, Sri Lankan Journals Online (SLJOL) and the e-repositories of universities in the country are making scholarly publications available as open access. SLJOL is a product of the International Network for the Availability of Scientific Publications (INASP) under the joint project of Journals Online. With its inception in August 2008, SLJOL sets its objectives to widen the access to and visibility of research published in Sri Lanka. Since it uses ‘Open Journals System’ that was created by the Public Knowledge Project (based in Canada), journal contents are indexed through Open Archive Initiative that harvest metadata of articles. Thus, SLJOL provides avenue for local authors to have a global audience. Presently, SLJOL provides open access to 60 peer reviewed journal titles published in Sri Lanka, which are covering a wide spectrum of disciplines. Of 60 journals, 36.66% are published by the universities and affiliated institutions, 35% of journals are published by institutes and learned societies, and 21.66% are published by professional organizations and associations, whilst, 6.66% of the publications are contributed by research institutes. The subject coverage of the journals is as follows: Agriculture is 13.33% (8), Architecture, Building and Planning 3.33% (2), Science 10% (6), Education 1.66% (1), Law 1.66% (1), IT and Computer Sciences 1.66% (1), Medicine and subject allied to medicine 40% (24), Multidisciplinary 6.66% (4), Physical Sciences 1.66% (1), Humanities and Social Studies 5 %(3), Management 8.33% (5), Environmental Science 1.66% (1) and Library and Information Science 3.33% (2). Considering electronic repositories, most of the universities, research institutes and other academic societies in Sri Lanka have their own digital collections that are freely accessible. Currently, there are 17 digital repositories are listed on Directory Sri Lankan Institutional Repositories, which contains 53,185 articles in various disciplines. The National Science Foundation (NSF) provides national e-repository, which covers full text scholarly literature of Sri Lankan origin. Research articles and reports, theses and dissertation, conference proceedings, abstracts of research session, and articles authored by academics and researchers of the institutions are stored on these repositories. Finally, the authors intend to kindle awareness about ever proliferating journal business in every nook and corner of academia of the globe. There has been skepticism of these ‘mushroom’ journals for their authenticity and credibility. Eminent academics are hesitant to publish their works in those journals. As a result of which, there has been a gap between knowledge shared on well-known sources and easily-affordable mushroom journals. Therefore, scholarly publications on open access sources need to comply with standards, whilst giving opportunity for research to be available to grassroots level of society.
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 | 0,003 | 0,015 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,008 | 0,014 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,004 | 0,004 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,007 | 0,002 |
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 ».