Bibliographic record
Abstract
This book, based on the prestigious Oxford Amnesty Lecture series, investigates the relationship between globalization and human rights. The contributors come to the subject from a wide range of disciplines and perspectives, and include Noam Chomsky, Kwame Anthony Appiah, Homi Bhaba, Susan George, and Joseph Stiglitz, with introductions and commentaries by Richard Rorty, Alan Ryan, Charles Taylor and others. Their forthright and provocative essays challenge the view that the development of global markets and global investment, together with the widespread circulation of information on which this depends, make human rights abuses less likely. Contributors to this volume - Susan George, activist and writer, author of How the Other Half Dies and A Fate Worse than Debt Noam Chomsky, Institute Professor at the Massachusetts Institute of Technology Vandana Shiva, Director of the Research Foundation for Science, Technology and Ecology, New Delhi Joseph Stiglitz, former Senior Vice-President, World Bank; Professor of Economics, Stanford University; Senior Fellow, Brooking Institute; and Special Advisor to the President of the World Bank Homi Bhabha, Professor of Humanities, University of Chicago Kwame Anthony Appiah, Professor of Afro-American Studies and Philosophy, Harvard University Respondents: Michael Likosky, Research Fellow in Law, Oxford University Alan Ryan, Warden of New College, Oxford Yoginder Sikand, Post-Doctoral Research Fellow in the History of Religion, London University B. S. Chimni, Professor of International Relations at Jawaharlal Nehru University, New Delhi Charles Taylor, Emeritus Professor of McGill University Richard Rorty, Professor of Comparative Literature at Stanford University
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.039 | 0.007 |
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".