Upstream of Peril: The Role of Federal Lands in Addressing the Extinction Crisis: Twelfth Annual Lloyd K. Garrison Lecture on Environmental Law
Bibliographic record
Abstract
This talk developed in part from a dialogue-a monologue really-that I had with my car radio.I have a forty-minute commute through a rural part of Vermont.Cell phone reception is non-existent or lousy, and radio stations alternate among the earnest droning of the local National Public Radio outlet, occasional wafts of world music with ads in French from Montreal, and blasts of a mega-hertz classic rock station that is probably beamed out of Cleveland.Consequently, I often turn to books on tape.In February, I decided to tackle Jared Diamond's Collapse: How Societies Choose to Fail or Succeed.'I confess I have a copy of the book at home, at the bottom of several layers of Bon Appetit magazine, but somehow I was not disciplined enough to work my way through it.Collapse is a spectacular review of the catastrophic fate of societies that ignored the fundamental principles
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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 teacher head, 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".