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Record W2110192726 · doi:10.22230/src.2015v6n1a145

Study on Perspectives Regarding Deposit on Open Access Repositories in the Context of Public Universities in the Central-Eastern Region of Argentina

2015· article· en· W2110192726 on OpenAlexvenueno aff
Patricia Silvana San Martín, Paola Carolina Bongiovani, Ana Casali, Claudia Deco

Bibliographic record

VenueScholarly and Research Communication · 2015
Typearticle
Languageen
FieldComputer Science
TopicE-Learning and Knowledge Management
Canadian institutionsnot available
Fundersnot available
KeywordsLibrary scienceContext (archaeology)UsabilityWorld Wide WebHumanitiesUploadPolitical scienceComputer scienceGeographyArt

Abstract

fetched live from OpenAlex

This article presents the results of a survey and qualitative study of needs and practices of open access scholarly works dissemination.The survey and study focused on different issues related to usability, navigation, and accessibility of institutional repositories, which have guided the design of an experimental prototype in the context of a regional project that joins three universities in Argentina. In such academic practices, the teaching community offers various types of production and simultaneous application areas for digital objects. Thus, there is a technological requirement to enable users to carry out their self-archiving process of different objects, in a user-friendly way, allowing them to upload these objects in various collections. A prototype was implemented and tested in order to obtain an initial assessment of the proposed model.L’article présente les résultats d’un sondage et d’un diagnostic qualitative sur les besoins et les pratiques de publication en accès libre. Il fait le point sur différents problèmes d’utilisabilité, de navigation et d’accessibilité rencontrés dans les archives institutionnels qui ont motivé la conception d’un prototype expérimental dans le cadre d’un projet regroupant trois universités en Argentine. Dans ces pratiques académiques, la communauté d’enseignants propose des types de production diverses et des champs d’application simultanés pour un même objet numérique. Il y a donc un besoin technologique pour l’enseignant-chercheur d’auto-archivage et de description de son objet numérique à travers une interface conviviale qui prenne en charge les champs d’application simultanés. La mise en place et le test du prototype permettront unepremière évaluation du modèle proposé.

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)0.006
metaresearch head score (Gemma)0.011
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.999
Threshold uncertainty score0.108

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0080.007
Scholarly communication0.0060.003
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.296
GPT teacher head0.431
Teacher spread0.134 · 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 designQualitative
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".

Quick stats

Citations2
Published2015
Admission routes1
Has abstractyes

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