The plurality of moral challenges in information societies and the need for systematic thinking
Bibliographic record
Abstract
This paper shall give a review of some recently published and some older books, which were published as second or third edition, on Information Ethics and Internet related topics: - Brennan, Linda L. & Victoria E. Johnson (eds.): Social, Ethical, and Policy Implications of Information Technology. Hershey, PA: Information Science Publishing, 2004. – 304 pages, paperback, $59.95 - Capurro, Rafael: Ethik im Netz. Wiesbaden: Franz Steiner, 2003. 278 pages, paperback, €26.00 - Cavalier, Robert J. (ed.): The impact of the Internet on our moral lives. Albany, NY: State University of New York Press, 2005. – 249 pages, paperback, $26.95 - Johnson, Deborah G.: Computer Ethics. Upper Saddle River, NJ: Prentice Hall, third edition, 2001. – 240 pages, paperback, $40.67 - Kuhlen, Rainer: Informationsethik. Umgang mit Wissen und Informationen in elektronischen Räumen. Konstanz: UVK (UTB), 2004. – 444 pages, paperback, €24.95 - Nyíri, Kristóf: Vernetztes Wissen. Philosophie im Zeitalter des Internets. Wien: Passagen Verlag, 2004. – 179 pages, paperback, €19.95 - Spinello, Richard A.: Case Studies in Information Technology Ethics. Upper Saddle River, NJ: Prentice Hall, second edition, 2003. – 252 pages, paperback, $54.67 - Spinello, Richard A. & Herman T. Tavani (eds.): Readings in Cyberethics. Sudbury, NJ: Jones and Bartlett Publishers, second edition, 2004. – 697 pages, paperback, $54.95 - Tavani, Herman T.: Ethics & Technology. Ethical Issues in an Age of Information and Communication Technology. Hoboken, NJ: John Wiley and Sons, 2004. 344 pages, paperback, $53.95
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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 | 0.195 | 0.134 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.008 | 0.005 |
| Science and technology studies | 0.021 | 0.232 |
| Scholarly communication | 0.045 | 0.068 |
| Open science | 0.007 | 0.028 |
| Research integrity | 0.025 | 0.026 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".