Forestry administrator framings of responses to socioeconomic disturbance: Examples from northern regions in Canada, Sweden, and Finland
Bibliographic record
Abstract
As the global forest sector endures rapid crises and more gradually evolving social, political, and environmental influences, little attention has been paid to how forest administrators view changing sectoral conditions and response measures. We analyze policy frames mobilized by 27 senior actors within major private and state-owned companies, and government agencies in northern forest regions of Canada, Sweden, and Finland. Results show that four intervening theme areas are engaged by forest administrators to frame sectoral changes and responses, namely, the role of international markets; timber pricing and supply; the role of the state; and environmental policies. However, perceived regional differences in the level of impact of the international market changes, public versus private wood supply dependence, and satisfaction with forestry institutions lead actors to frame problems and solutions differently. While forest policy discourse is relatively consistent across these regions, responses are specified to regional contexts.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.030 | 0.013 |
| Scholarly communication | 0.007 | 0.001 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| 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".