Nature's Past Episode 022: A Century of Parks Canada
Bibliographic record
Abstract
On May 19, 2011, Parks Canada celebrates its 100th anniversary, commemorating its founding in 1911 as the world’s first national parks service. Preceding the creation of the National Park Service in the United States by more than five years, the federal government of Canada created a new unit within the Department of the Interior, known as the Dominion Parks Branch, to oversee and administer the country’s forest reserves and a nascent assemblage of western national parks. Over the course of the next century this government agency would, as Canadian historian Claire Campbell writes, “convince Canadians that in their national parks resided the true wealth of a kingdom.” \n \nIn recognition of this occasion, the Network in Canadian History and Environment sponsored the publication of a new edited collection called A Century of Parks Canada, 1911-2011 that explores episodes of Canada’s national parks history from coast to coast to coast. This book is the first to be published in NiCHE’s Canadian History and Environment series in partnership with the University of Calgary Press as an open access publication. Listeners can download a digital copy and order a print copy today from the book’s website. \n \nBook Cover, A Century of Parks Canada, 1911-2011
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.039 | 0.007 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.029 | 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".