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Record W2083802675 · doi:10.1109/ccece.2006.277534

Implementing a Tool for Role-Based Collaboration

2006· article· en· W2083802675 on OpenAlexaff
Pierre Seguin, Haibin Zhu

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicAccess Control and Trust
Canadian institutionsNipissing University
Fundersnot available
KeywordsComputer-supported cooperative workComputer scienceEclipseJavaCollaborative softwareSoftware engineeringHuman–computer interactionWork (physics)World Wide WebEngineeringProgramming language

Abstract

fetched live from OpenAlex

Computer supported cooperative work (CSCW) allows large groups of people to collaborate more efficiently through the use of information systems. Current research in the area has shown that role based collaboration (RBC) is a powerful tool to implement a complex CSCW system. It allows the separation of concerns and the flexible definition of rights and responsibilities. However, RBC has not gained wide spread acceptance, partly because there is no robust proof of concept. In this paper, we implement a framework based on the E-CARGO model using the Java language that can support many types of user environments (e.g. Web-based, Eclipse Rich Client Platform, Console) and provide a tool for adding new collaborative activities to the system. We then give examples of how typical collaborative activities are added to the system and conclude by investigating the pros and cons of such a method and suggesting further steps to create robust RBC systems. This new framework hopes to allow RBC systems to be more widely accepted in practice. The main contributions of this paper include the first consistent tool for collaborative systems that uses RBC as a base and a novel method for adding new types of collaborations to the role-based CSCW 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 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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.963
Threshold uncertainty score0.990

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 head0.010
GPT teacher head0.313
Teacher spread0.303 · 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 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".

Quick stats

Citations5
Published2006
Admission routes1
Has abstractyes

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