Research in Information Systems Analysis and Design: Introduction to the Special Issue
Bibliographic record
Abstract
Information systems analysis and design (ISAD) arguably lies in the core of the Information Systems (IS) discipline. Although ISAD is central to the IS curriculum, it remains somewhat at the periphery of research in leading journals. A recent study (Vessey, Ramesh, and Glass 2002) showed that few of the articles published in five leading IS research journals from 1995 to 1999 deal with these topics. This special issue is the outcome of a special joint initiative between the Journal of the Association for Information Systems (JAIS) and the Communications of the Association for Information Systems (CAIS), with the purpose of beginning to fill this void and to attract the attention of researchers to this important area. The papers in this issue illustrate a range of ISAD topics - conceptual modeling, database design, and the role of knowledge management in systems development project performance.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.002 | 0.007 |
| Scholarly communication | 0.009 | 0.010 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.007 | 0.014 |
| Insufficient payload (model declined to judge) | 0.019 | 0.010 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".