The TRANSFOR success story: International forestry education through exchange
Bibliographic record
Abstract
The TRANSFOR (Transatlantic Education for Global Sustainable Forest Sector Development) program has promoted international student and staff exchanges among four Canadian (Alberta, British Columbia, New Brunswick and Toronto) universities and universities in four European countries (Germany [Freiburg], Finland [Joensuu], Sweden [Swedish University of Agricultural Sciences, Umeå] and the United Kingdom [Bangor University, Wales]). The program incorporated five components: one or two semester study visits for undergraduate forestry students, working internships, summer field courses, study visits for academic staff, and TRANSFOR project meetings. The summer field courses were a highly innovative part of the program and allowed students to spend three to four weeks learning about forestry activities and challenges on a continent different from that of their home institution. The program fostered internationally focused understanding of forest ecology and management, as well as economic and cultural factors, as will be required to develop effective international standards for sustainable forest management. Most student participants reported that it was a very positive experience and a high point of their education. Key words: international exchange, undergraduate forestry students, internships, field courses, international forestry
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.004 |
| Scholarly communication | 0.011 | 0.011 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.014 | 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".