The Need for Integrated Resource Management to Achieve a Sustainable Forest Management Regime: A Case of the Forest Management in Alberta, Canada.
Bibliographic record
Abstract
持続可能な森林経営の実現には, 森林のもつ三つの経済的, 生態的, 社会的価値の維持・向上が必要であるという視点から, アルバータ州の北方林管理の実情を分析した。その結果, 州政府が短期的な経済的価値の追求に偏重する限り, それらの価値の維持・向上は困難であることが明らかになった。天然資源開発だけでなく, 先住民を含めた市民の生活の質にも便益をもたらす森林を管理するためには, 市民参加を通して, 一つの地域におけるすべてのステイクホルダーたちの便益と生態系の保全を考慮した, 統括的資源管理 (IRM) が必要であることが導かれた。さらに, IRMの実践例であるゾーニングと森林管理協議会 (FSC) の原則に基づく管理を比較した結果, 両者の違いは, 森林のもつ価値のバランスの取り方によるものであることがわかった。したがって, IRMの計画には, 森林のもつ三つの価値のバランスの取り方をステイクホルダーたちの間で話しあえる, 参加型で透明性のある意思決定の場をつくることが重要であると思われる。
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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 | 0.019 | 0.006 |
| Scholarly communication | 0.007 | 0.001 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| 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".