A Transatlantic, Multidisciplinary and Comparative Approach
Bibliographic record
Abstract
The fate and function of U.S. forests face unprecedented challenges from urbanization, land transfer, and industrial globalization. Landcare is a landowner-led, community-based, and state supported approach to conservation and development that has had international success as a response to these challenges. The landcare movement has recently become active in the United States, engaging a broad coalition of government, industry, and local partners. The purpose of this paper is to describe and examine the emerging forest landcare movement occurring in Virginia and extract lessons from this case study useful to other areas facing similar issues. Specifically, we examine Grayson Landcare and the Blue Ridge Forest Cooperative to explore how well landcare promotes sustainability as defined using the Montreal protocol. We find that landcare strategies have great potential but as yet have a relatively small impact on local environment, economy, and community.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.007 | 0.010 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
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".