A proposed ethical warrant for global knowledge representation and organization systems
Bibliographic record
Abstract
New technologies have made the increased globalization of information resources and services possible. In this situation, it is ethically and intellectually beneficial to protect cultural and information diversity. This paper analyzes the problems of creating ethically based globally accessible and culturally acceptable knowledge representation and organization systems, and foundation principles for the ethical treatment of different cultures are established on the basis of the United Nations Universal Declaration of Human Rights (UDHR). The concept of “cultural hospitality”, which can act as a theoretical framework for the ethical warrant of knowledge representation and organization systems, is described. This broad discussion is grounded with an extended example of one cultural universal, the concept of time and its expression in calendars. Methods of achieving cultural and user hospitality in information systems are discussed for their potential for creating ethically based systems. It is concluded that cultural hospitality is a promising concept for assessing the ethical foundations of new knowledge representation and organization systems and for planning revisions to existing systems.
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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 | 0.047 | 0.058 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.036 |
| Scholarly communication | 0.015 | 0.013 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.012 | 0.009 |
| Insufficient payload (model declined to judge) | 0.004 | 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".