Information systems : the e-business challenge : IFIP 17th World Computer Congress, TC8 stream on information systems: the e-business challenge, August 25-30, 2002, Montréal, Québec, Canada
Bibliographic record
Abstract
Preface. Programme Committee. A Language Based Combined Requirements Engineering Approach J. Barjis. Support Structure of Knowledge Management in Software Process Improvement Wan Jiangping, et al. IT Failure and the Collapse of One.Tel D. Avison, D. Wilson. Active Models for Digitally Enabled Creative Business Networks J. Krogstie, et al. Modeling of e-Business Brokerage Systems Using UML and Petri Net B. Shishkov, J. Barjis. Trust and Virtual Organizations E. Rossen. Identifying Communities of Practice K. O'Hara, et al. The Role Of Culture In the Development of Global E-Commerce Systems J. Slay, G. Quirchmayr. Online One-Stop Government M.A. Wimmer, E.Tambouris. Designing Collaborative Business Systems I. Hawryszkiewycz. Video-based Customer Consulting via Internet Using Videoconferencing Standard H.323 U. Zschuckelt, et al. A System For Secure Mobile Payment Transactions T. Halonen, T. Virtanen. A User Centred Website Development Approach M. J. Taylor, et al. Designing a Web Application Using an Ethnographic Research Approach N.C. Surendra. A Framework for Facilitating Higher-order Strategic Thinking in Online Management Development P. Nicholson, G.White. An Evaluation of the Web Presence of a Nonprofit Organization A. Abuhamdieh, et al. Auctions with Buyer Preferences C. Bandela, et al. From Vision to Reality J. Gunnarsson, G. Sigurdardottir. Design: How Can We Cope with Change? R. Traunmuller. Index.
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 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 | 0.008 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.092 | 0.038 |
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".