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Record W3184597869 · doi:10.5121/ijci.2021.100216

FX Event Organization

2021· article· en· W3184597869 on OpenAlexaff
Muthu Krishnan.S, Angelin Ranjithamani.D, Deepa .C

Bibliographic record

VenueInternational Journal on Cybernetics & Informatics · 2021
Typearticle
Languageen
FieldComputer Science
TopicWeb visibility and informetrics
Canadian institutionsSt. Francis Xavier University
Fundersnot available
KeywordsEvent (particle physics)LoginComputer scienceIndex (typography)SQLWorld Wide WebDynamismWeb applicationVisualizationSql serverArchitectureData scienceDatabaseArtificial intelligenceComputer security

Abstract

fetched live from OpenAlex

Online event management system is an online event management system software project that serves the functionality of an event manager. The system allows registered user login and new users are allowed to register on the application. The system helps in the management of events, users and the aspects related to them. This proposed to be a web application. The project provides most of the basic functionality required for an event type e.g. [technical,Non-technical events,etc]. College students are advanced in thinking, who are senior and specialized professionals trained by the nation. They have independent thinking skills, and often have unique views and opinions on events. In this paper, an index is constructed to solve the difficulty of monitoring the ideological dynamics of college students, since the ideological dynamics of college students is difficulty to be captured. In particular, a visualization management information system is developed to monitor the ideological dynamics of college students based on big data. This system is based on the B/S architecture, which uses the SQL Server database. This system realizes the functions of index modification, document entry, word segmentation statistics, index correlation, keyword search, index analysis, document analysis.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.782
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.010
GPT teacher head0.257
Teacher spread0.247 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
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

Citations0
Published2021
Admission routes1
Has abstractyes

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