"The Natural City" Symposion: Keynote speech: A contract with our future
Bibliographic record
Abstract
Recently lauded by Successful Meetings magazine as a man whose message supersedes his golden name, Robert F. Kennedy Jr. maintains a reputation as a resolute defender of the environment. His litany of successful legal actions includes: prosecuting governments and companies for polluting the Hudson River and Long Island sound; winning settlements for the Hudson Riverkeeper; arguing cases to expand citizen access to the shoreline; and suing sewage treatment plants to force compliance with the Clean Water Act. Mr Kennedy serves as chief prosecuting attorney for the Hudson Riverkeeper, senior attorney for the Natural Resources Defense Council, all while serving as the President of the Waterkeeper Alliance. He is also a clinical professor and supervising attorney at the Environmental Litigation Clinic at Pace University School of Law in New York. He has worked on environmental issues across the Americas and has assisted several indigenous tribes in Latin America and Canada in successfully negotiating treaties protecting traditional homelands. He is credited with leading the fight to protect New York City's water supply. The New York City watershed agreement, which he negotiated on behalf of environmentalists and New York City watershed consumers, is regarded as an international model in stakeholder consensus negotiations and sustainable development. The following are excerpts from the Keynote Address by Robert F. Kennedy Jr. at Convocation Hall, University of Toronto at the international symposionon 'The Natural City," Toronto, 23-25 June, 2004, sponsored by the University of Toronto's Division of the Environment, Institute for Environmental Studies, and the World Society for Ekistics, and are reprinted with kind permission from Idea&s: the Arts and Science Review, of the University of Toronto, Autumn 2004, vol. 1, no. 1, pp. 10-12.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.006 | 0.009 |
| Insufficient payload (model declined to judge) | 0.280 | 0.124 |
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".