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Record W2910920659

College Management System and Forum using Web-Application

2018· article· en· W2910920659 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Data Processing Techniques
Canadian institutionsTrinity College
Fundersnot available
KeywordsLoginWorld Wide WebComputer scienceAttendanceWorkloadWeb applicationManagement systemFace (sociological concept)Computer securityEngineeringOperations managementOperating systemPolitical scienceSociology
DOInot available

Abstract

fetched live from OpenAlex

With the growing number of colleges nowadays and a growing number of students each year, we face a huge problem of maintaining huge amounts of data about each and every student as well as professors, be it their attendance or be it some issued notices regarding various events. Through this paper, we propose a way of easy maintenance of each and every detail of all activities being done in the college as well as provide a platform for easy communication between the College Management and the Students and the Professors. We design our College Management System by dividing it into three major parts - (1) Front-end Web Design Layer, (2) A Business Logic Layer, (3) Back-end Database Layer. We provide the user with a user-specific login such as Student Login, Admin Login, etc. Thus, providing each with their special privileges. There is also a provision of filling of online forms and issuing certificates so that there should be a minimum workload for the student as well as the management. Cite this Article Anuraj Kataria, Aishwarya Ghevari, Mahesh Kangude et al . College Management System and Forum using Web-Application. Current Trends in Information Technology . 2018; 8(3): 1–4p.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.906
Threshold uncertainty score0.236

Codex and Gemma teacher scores by category

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

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 head0.009
GPT teacher head0.246
Teacher spread0.237 · 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

Quick stats

Citations1
Published2018
Admission routes1
Has abstractyes

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