Neo-Rawlsian Co-ordinates: Notes on A Theory of Justice for the Information Age
Bibliographic record
Abstract
The ideas of philosopher John Rawls should be appropriated for the information age. A literature review identifies previous contributions in fields such as communication and library and information science. The article postulates the following neo-Rawlsian propositions as co-ordinates for the development of a normative theory of the information society: that political philosophy should be incorporated into information society studies; that social and technological circumstances define the limits of progressive politics; that the right is prior to the good in social morality; that the nation state should remain in sharp focus, despite globalization; that liberty, the first principle of social justice, requires updating to deal with the growth of surveillance and other challenges; that social wellbeing is a function of equal opportunities plus limited inequalities of outcome, in information as well as material resources; and that political stability depends upon an overlapping consensus accommodating both religion and secularism. Although incomplete, such co-ordinates can help to guide policy-makers in the twenty-first century.
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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 | 0.020 | 0.032 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.007 | 0.060 |
| Scholarly communication | 0.016 | 0.026 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.011 | 0.013 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".