One hundred years of forestry education at UNB (1908–2008)
Bibliographic record
Abstract
Some key events that have shaped forestry instruction at the University of New Brunswick (UNB) following introduction of a BScF degree programme in 1908 are recounted. These include building of the Forestry and Geology Building in 1931, creation of the Faculty of Forestry in 1947, the large influx of students following WWII, extension of the BScF programme to five years in 1952, introduction of options in 1963, addition of a BScFE degree programme in 1968 and subsequently creation of Forest Resources and Forest Engineering Departments within the Faculty, addition of the New Forestry Building in 1976, early adoption and subsequent emphasis on computer technology from 1971 onward, graduation of its first PhD student in 1985, development in 1988 of the Faculty's Tweeddale Centre in the Hugh John Flemming Forestry Complex adjacent the UNB Woodlot, a massive increase in enrolments throughout the late 1980s and 1990s followed by a significant decline, significant curriculum changes in 1993, disbanding of Departments and renaming of the Faculty in 1994 to the Faculty of Forestry and Environmental Management, the move in 2007 back to four-year degree programmes, and in 2008, introduction of a third bachelor's degree programme, Environment and Natural resources (BScENR). Key words: University of New Brunswick, Forestry Faculty, history, degrees, facilities, personnel, departments, programmes, Fredericton
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.039 | 0.007 |
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".