Management of New Brunswick's Crown forest during the twentieth century
Bibliographic record
Abstract
A condensed history of forestry and forest management in New Brunswick's Crown Forest during the 20th century is presented. It begins with a description of the advanced state of forest management in New Brunswick today. The description provides a sharp contrast to the subsequent detailing of forestry operations, and lack of forest management, that characterized the early decades of the 20th century. A gradual improvement followed, as professional forestry education and technology combined to elevate forestry practice. Next examined is forestry practice and its change across several distinct periods: the inter-wars period (1914–1938), WWII and aftermath (1939–1957), two decades of profound change (1958–1980), and the modern era (1981–2005). It is concluded that a few key events and individuals explain the gradual evolution of forestry in New Brunswick from controlled exploitation to sustainable management. Also suggested is that the Faculty of Forestry and Environmental Management at the University of New Brunswick must continue to attract the brightest and best to its forestry programmes, if New Brunswick is to maintain its leadership position in management of public forests. Key words: forest management, history, Province of New Brunswick, technological advances, forestry practice, key personnel, Crown Lands and Forests Act
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".