Nature's Past Episode 025: National Parks Beyond the Nation
Bibliographic record
Abstract
While Ken Burns and Dayton Duncan’s six-episode PBS documentary series framed national parks as “America’s Best Idea”, that idea has not been limited to the borders of the United States. The world’s first national parks service was established in Canada; the world’s largest national park is in Greenland; the Mongolian government claims Bogd Khan Uul National Park as the oldest national park in the world, first designated for protection in 1783. The US model for national parks has obviously been influential in parks history, but to what extent was the national parks idea an international movement? \n \nThis past September, the Public Lands History Center and the Department of History at Colorado State University hosted an interdisciplinary colloquium that looked at the national park idea from a global perspective. “National Parks Beyond the Nation” brought twelve leading environmental history scholars together for a four-day workshop to explore their research on national parks in an international context. \n \nOn this episode of the podcast, we speak with some of the participants from this workshop about their research on national parks around the world. \n \nPlease be sure to take a moment to fill out a short listener survey here.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.010 | 0.001 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.081 | 0.008 |
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".