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Record W2109686624 · doi:10.1109/ideas.2003.1214968

ConfSys: the CINDI conference support system

2003· article· en· W2109686624 on OpenAlexafffund
Gu Zhengwei, Xin Jin, Bipin C. Desai

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicOnline Learning and Analytics
Canadian institutionsConcordia University
FundersUniversité du Québec à Montréal
KeywordsComputer scienceDownloadWorld Wide WebThe InternetSet (abstract data type)Operations researchEngineering

Abstract

fetched live from OpenAlex

In managing an academic conference, the program chair (PC) is required to deal with many repetitive administrative tasks such as: interaction with authors and program committee members (reviewers), paper collection, paper allocation, distributing the paper to the reviewers, collating, sorting and tabulating the evaluations, orchestrating the debate of controversial evaluation of some of the papers, making the final tabulation and preparing the notification and comments to the reviewers and authors. The Conference Management System (ConfSys) presented here is a entirely a Web-based system which provides facility for the program chair(s) to set up the details for a meeting, allows authors to register and submit papers to the system on-line; records the topic of expertise of the members of the program committee members (reviewers); helps the PC by performing an automatic allocation of the submitted papers to the reviewers. The reviewers have a facility to bid in an auction for papers to review and later to download and review the assigned paper via the Internet. The ConfSys uses the DBLP database in the automatic assignment of papers to avoid any conflict of interest and thus helps in the allocation of papers to the reviewers for a fair and impartial review of each paper.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.989
Threshold uncertainty score0.387

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 science0.0010.000
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 head0.017
GPT teacher head0.240
Teacher spread0.222 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations4
Published2003
Admission routes2
Has abstractyes

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