Organizational semiotics : evolving a science of information systems : IFIP TC8/WG8.1 Working Conference on Organizational Semiotics : evolving a science of information systems, July 23-25, 2001, Montreal, Quebec, Canada
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.
Bibliographic record
Abstract
Contributors. Preface. Exploring the Explanatory Power of Actability P.J. Agerfalk, et al. Information and Knowledge Economies D. O'Connor, et al. Data, Information, and Knowledge F. Nake. Organisations as Practice Systems G. Goldkuhl, et al. Knowledge or Information E. Braf. Translation, Betrayal and Ambiguity in IS Development J. Underwood. Integrating Information Systems V.A. Martin, et al. User-System Interface Design J.H. Connolly, I.W. Phillips. Pervasive Computing and Space P.B. Andersen. Systemic Functional Hypertexts (SFHT) A. Mehler, R.J. Clarke. The Value of Information in the 'E-age' A. Verrijn-Stuart, W. Hesse. Semiosis, Information and Knowledge E. Taborsky. Dividing Businesses into Processes M. Lind. A Semiotic Approach to Quality in Requirements Specifications J. Krogstie. The Institutional Context of Information M.S.H. Heng. Seven Rules for Applying Language/Action Perspective and Organizational Semiotics Successfully J.L.G. Dietz. Towards a Semiotic Communications Quality Model A. De Moor, Hans Weigand. Semiotics and Intelligent Control M. Lind. Striking the Right Tone A. Pollard, D. Thomas. Looking Inside M.C.C. Baranauskas, et al. Levels of Abstraction in Maritime Maneuvering Operations J. Petersen. Keywords 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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it