Introduction to Fire Ecology of the Northeast: Restoring Native and Cultural Ecosystems
Bibliographic record
Abstract
This special issue is composed of papers presented at a conference hosted jointly by the Yale University School of Forestry and Environmental Studies (New Haven, Connecticut) and Tall Timbers Research Station and Land Conservancy (Tallahassee, Florida) to address the history, ecology, and current need for prescribed fire in native and cultural ecosystems in the Northeast region of the United States and eastern Canada. The conference was held at the Yale University campus on February 20–22, 2014 and involved participants from universities, government agencies, nongovernment organizations, and private business. This special issue presents evidence that the fire history and ecology of the Northeast are strongly context-dependent and result from complex interactions of climate, human land use, and physiography, that certain species within the region are truly fire-adapted, and that synergies between fire management for ecological restoration and public welfare can and should be pursued on the modern landscape. A summary of all conference presentations and syntheses of panel discussions has been published as a Yale Forest Forum Review.
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 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".