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Record W2609645125 · doi:10.24018/ejece.2021.5.4.340

Intranet-Based Wiki with Instant Messaging Protocol

2021· article· en· W2609645125 on OpenAlexfundno aff
Chimezie F. Ugwu, Henry O. Osuagwu, Donatus I. Bayem

Bibliographic record

VenueEuropean Journal of Electrical Engineering and Computer Science · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicWikis in Education and Collaboration
Canadian institutionsnot available
FundersConsortium canadien en neurodégénérescence associée au vieillissementCisco Systems
KeywordsIntranetComputer scienceInstant messagingWorld Wide WebThe InternetProtocol (science)Point (geometry)Work (physics)Internet privacyComputer securityEngineering

Abstract

fetched live from OpenAlex

This research developed an Intranet-Based Wiki with Instant Messaging Protocol (IBWIMP) for the Staff of the Department of Computer Science, University of Nigeria, Nsukka to enable them to collaborate on tasks; like writing of documents like, memo, project guidelines, proposal/grants, and circulars with online security consideration. The essence of this work is to improve on the contributions staff make during work, in carrying out tasks with their colleagues irrespective of the person’s location at that point in time. The existing system on ground would always require the presence of the staff within the department before they can carry out the tasks meant for them or respond to the available mails within their mail boxes located within the general office of the department. In regard to such situation, there is always delay in the processing of such mails or documents that could require urgent attention of the supposed staff therefore could cause serious damages. This research established a better internet connection for the security of the system and the documents therein by the use of virtual private server (VPS) hosting on virtual private network (VPN). This system allows the collaboration between the staff of the department and external persons, or partners classified as external staff user on documents like circulars that normally come from outside the department. This system automatically sends emails to the supposed users whenever the admin posts a document via the Short Message Transfer Protocol (SMTP). The system is accessed online by the users from any location once there is accessible internet connection and users can collaborate on the development of any posted document at the same time. This application was designed using Object Oriented Analysis and Design Methodology (OOADM) and implemented using Hypertext Markup Language (HTML), JavaScript, Cascading Style Sheet (CSS), CkEditor, Hypertext Pre-Processor (PHP) and MySQL database management system.

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)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0030.006
Open science0.0020.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.006

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 head0.007
GPT teacher head0.250
Teacher spread0.243 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2021
Admission routes1
Has abstractyes

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