Politics of Forests: Northern Forest-industrial Regimes in the Age of Globalization
Bibliographic record
Abstract
Contents: Part I: Circuits of Wood and Power: Timber Frontiers and Paper Landscapes of the North: Introduction: northern forest regimes and the challenge of internationalization, Ari Aukusti Lehtinen, Jakob Donner-Amnell and BjA,rnar SA|ther. Part II: Canada: Freeing from the Colonial Heritage?: Requiem for a 'local' champion: globalization, British Columbia's forest economy and MacMillan Bloedel, Roger Hayter Beyond L'Erreur boreale: the forest industry, environmentalism and image production in Quebec, Canada, L. Anders Sandberg, Nicolas Houde and Patrick Lavoie. Part III: Russian Forest Industry: Eroding the Patrimonial Hegemony: Russian Taiga: regional fabrication of the Federal Forest Regime, Ari Aukusti Lehtinen Forest regimes as heterogeneous networks: polarization of the Russian forest industry, Jarmo Kortelainen Shifting between the East and the West, switching between scales: forest-industrial regimes in northwest Russian borderlands, Juha Kotilainen Co-managing the Taiga: Russian forests and the challenge of international environmentalism, Maria Tysiachniouk and Jonathan Reisman. Part IV: Nordic Forest Regimes: Success and its Price: To be or not to be Nordic? how internationalization has affected the character of the forest industry and forest utilization in the Nordic countries, Jacob Donner-Amnell The emergence of two national concepts and their convergence toward a common Nordic regime in the global forest industry, Christer Peterson From national to global agenda: the expansion of Norske Skog 1962-2003, BjA,rnar SA|ther. Part V: Conclusions: Comparing the forest regimes in the Conifer North, Jacob Donner-Amnell, Ari Aukusti Lehtinen and BjA,rnar SA|ther Index.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.006 | 0.016 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".