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Record W2222819688 · doi:10.7557/5.3655

Open Access to Sri Lankan Scholarly Publications: a web survey of Sri Lankan Journals Online and e-Repositories

2015· article· en· W2222819688 on OpenAlexaboutno aff
T. Ramanan, Norman Ravikumar Muthurajah

Bibliographic record

VenueSeptentrio Conference Series · 2015
Typearticle
Languageen
FieldComputer Science
TopicLibrary Science and Information Systems
Canadian institutionsnot available
Fundersnot available
KeywordsPublicationPolitical scienceMetadataLibrary scienceProduct (mathematics)Scholarly communicationBusinessPublic relationsWorld Wide WebPublishingComputer scienceAdvertising

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Open science
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.999
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0080.014
Science and technology studies0.0010.001
Scholarly communication0.0040.004
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.247
GPT teacher head0.380
Teacher spread0.133 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2015
Admission routes1
Has abstractyes

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