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Record W91131904

A scientometric study of information systems conferences: Exploring ICIS, PACIS and ASAC

2009· article· en· W91131904 on OpenAlexaff
Mihail Cocosila, Alexander Serenko, Ofir Turel

Bibliographic record

VenueJournal of the Association for Information Systems · 2009
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicBig Data and Business Intelligence
Canadian institutionsLakehead University
Fundersnot available
KeywordsProductivityDimension (graph theory)Field (mathematics)Domain (mathematical analysis)Operations researchDistribution (mathematics)Computer scienceRegional sciencePolitical scienceGeographyEngineeringMathematicsEconomicsEconomic growth
DOInot available

Abstract

fetched live from OpenAlex

This study examines one dimension of the evolution of the information systems (IS) field through a scientometric study of three major global, regional and national conferences: ICIS, PACIS and ASAC. The findings suggest that IS has matured and diversified over the years, since the number of publications and the average number of collaborators per publication have been growing. Using well-established scientometric laws the study further demonstrates that the productivity distribution of researchers in the IS field is in line with what is expected from an established domain with some noticeable characteristics. Implications for IS research are suggested.

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)0.003
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.485
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.013
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 head0.106
GPT teacher head0.291
Teacher spread0.185 · 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 designObservational
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
Published2009
Admission routes1
Has abstractyes

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