Bibliographic record
Abstract
The Sustainable Forestry Partnership (SFP) began in 1995 as a diverse group of faculty from Oregon State University. With initial support from the John D. and Catherine T. MacArthur Foundation, and later other foundations and governmental support, SFP grew to include faculty and staff at Auburn University School of Forestry & Wildlife Sciences, Oregon State University College of Forestry, the Pennsylvania State University School of Forest Resources and the United States Department of Agriculture Cooperative State Research, Education, and Extension Service (USDA CSREES). SFP has demonstration of sustainable forestry practices as one of its five principal programmatic foci. Working toward this effort, in January 2001 the Forestry Media Center at Oregon State University initiated development on a World-Wide-Web-based “sustainable forestry virtual tour.” When complete, the Web site will link sustainable forestry tours in Oregon, Alabama, and Pennsylvania. Currently, the Sustainable Forestry Virtual Tour prototype represents only Oregon; it is the prototype "virtual demonstration." We used the latest in Web site technology to develop the "virtual" electronic tour of a western Oregon forest. With the addition of video clips, panoramic photos, and interactive images, we attempted to bring the forest to the computer user. Our Web site content focuses on local forest management while applying the Montreal Process Criteria and Indicators for sustainable forestry in temperate forests. This presentation will briefly explore the Web site content and structure; it will be the foundation for a follow-up discussion entitled, “Comparing the Effectiveness of Virtual and Traditional Forestry Field Tours.”
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 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.134 | 0.041 |
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".