Community Response to Forestry Transition in Rural Canada: Analysis of Media and Census Data for Six Case Study Communities in New Brunswick and British Columbia
Bibliographic record
Abstract
The forest economy is in transition across Canada. Faced with high dollar values, increasing competition within the global market, high input costs for energy, labour and fibre, and growing expectations for environmental performance, the forest sector is undergoing significant economic transitions as companies across the country cut costs, close mills and shed jobs. This report contributes to our understanding of community response to mill closure with a detailed description of six case study communities during a period of forest industry mill closures. Three communities are in British Columbia (Mackenzie, Quesnel and Fort St. James) and three communities are in New Brunswick (Dalhousie, Nackawic and Mirimachi). Empirical information is derived from national and local media reports as well as recent data from the Census of Canada. Key thematic areas include resilience, economic diversification, the nature of mill closure, union involvement, government involvement and concerns over government policy changes such as appurtenancy.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.013 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".