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Record W2106688082 · doi:10.1109/cmpsac.2003.1245402

A framework for Web-based research support systems

2004· article· en· W2106688082 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
FieldComputer Science
TopicSemantic Web and Ontologies
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsRSSComputer scienceDecision support systemAdaptation (eye)Web applicationInformation systemProcess (computing)Conceptual frameworkWorld Wide WebKnowledge managementData scienceEngineeringData mining

Abstract

fetched live from OpenAlex

The objective of research support systems (RSS) is to support and improve research, which may be viewed as a counterpart of decision support systems (DSS) for scientists. Web-based RSS (WRSS) assist scientists in the research process on the Web platform. WRSS are based on the assembling, integration, and adaptation of existing computer technology and information systems for the purpose of research support. A framework of WRSS is presented by focusing on research activities and phases, as well as the technology support needed. The emphasis is on the conceptual formulation of WRSS. Different systems are linked to various research activities, and a pool of support sub-systems is established. As an illustrative example, Web-based information retrieval support systems (WIRSS) are discussed. The results of WRSS may lead to new and viable research tools.

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)0.001
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: Theoretical or conceptual
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.719
Threshold uncertainty score0.219

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.179
GPT teacher head0.394
Teacher spread0.215 · 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

Citations39
Published2004
Admission routes1
Has abstractyes

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