Crise forestière et ancrage territorial : le cas de la Coopérative des travailleurs forestiers de McKendrick au Nouveau-Brunswick
Bibliographic record
Abstract
The co-operative movement played an important role in the development of northern New Brunswick. Recently, these regions were negatively impact by the forestry crisis. This case study underlines the contribution of socio-territorial capital and social innovation to the development of the Coopérative des travailleurs forestiers de McKendrick (CTFM) in this economic context. The theoretical perspective of this paper is the model of progressive local development that we apply to a co-operative organization. A mixed approach of data collection (quantitative and qualitative sources) is used in this case study. The co-operative operates in two communities the socioeconomic life of which is closely linked to the forest. This territorial anchoring favors the emergence of a particular relation to nature which integrates work, leisure activities and social networking. The forestry crisis forced the government to reduce its financial contribution regarding silviculture operations. This decision had a direct impact on the financial performance of the co-operative and a progressive reduction of its surplus has been observed. She proposes an original formula for financing venture capital in workers? cooperatives and a new approach in the management of silviculture operations in New Brunswick.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.007 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".