Forest Law and Sustainable Development
Bibliographic record
Abstract
No AccessLaw, Justice, and Development1 Feb 2013Forest Law and Sustainable DevelopmentAddressing Contemporary Challenges Through Legal ReformAuthors/Editors: Lawrence C. Christy, Charles E. Di Leva, Jonathan M. Lindsay, Patrice Talla TakoukamLawrence C. Christy, Charles E. Di Leva, Jonathan M. Lindsay, Patrice Talla Takoukamhttps://doi.org/10.1596/978-0-8213-7038-4SectionsAboutPDF (0.7 MB) ToolsAdd to favoritesDownload CitationsTrack Citations ShareFacebookTwitterLinked In Abstract:This book analyzes the wide range of issues that should be taken into account in forest-related legislation. It stresses that forest law must be understood in the context of the broader legal framework governing land use and land tenure, as well as international obligations related to trade, environmental protection, and human rights. The book also pays significant attention to institutional arrangements and governance practices relevant to forests, including decentralization, transparency, and law enforcement. The authors draw extensively on experience from around the world to provide tools for dealing with various forest management challlenges. The authors are experts in the field of forest law. Lawrence C. Christy is a Former Chief, Development Law Service, Legal Office, Food and Agricultre Organization of the United Nations (FAO). Charles E. Di Leva is Chief Counsel, Environmentally and Socially Sustainable Development and International Law Unit (LEGEN), Legal Vice-Presidency, World Bank. Jonathan M. Lindsay is Senior Counsel with LEGEN, Legal Vice-Presidency, World Bank. Patrice Talla Takoukam is Counsel with LEGEN, Legal Vice-Presidency, World Bank. Previous bookNext book FiguresReferencesRecommendedDetailsCited ByBiodiversity, Climate Change and Finnish Forest Regulation8 July 2020Competition for land resources: driving forces and consequences in crop-livestock production systems of the Ethiopian highlandsEcological Processes, Vol.7, No.17 September 2018Quantifying local community voices in the decision-making process: insights from the Mount Cameroon National Park REDD+ projectEnvironmental Sociology, Vol.4, No.213 August 2017Tropical Forest Policy and LegislationTropical Forest Policy and Legislation25 April 2015Forest Grabbing Through Forest Concession Practices: The Case of GuyanaJournal of Sustainable Forestry, Vol.33, No.425 April 2014Reconsidering the role of public participation in the Finnish forest planning systemScandinavian Journal of Forest Research, Vol.27, No.2A potential role for EIA in Finnish forest planning: learning from experiences in Ontario, CanadaImpact Assessment and Project Appraisal, Vol.29, No.2 View Published: April 2007ISBN: 978-0-8213-7038-4e-ISBN: 978-0-8213-7039-1 Copyright & Permissions Related RegionsAfricaLatin America & CaribbeanRelated CountriesGuernseyRelated TopicsEnvironmentRural DevelopmentWater Resources KeywordsFOREST-RELATED LEGISLATIONFOREST LAWLEGAL FRAMEWORKLAND TENUREENVIRONMENTAL PROTECTIONFORESTSAGRICULTUREENVIRONMENTAL IMPACT ASSESSMENTSFORESTFOREST LAWFOREST MANAGEMENTFORESTRYFORESTRY LAWLAND LAWSTATE FORESTSWILDLIFE PDF DownloadLoading ...
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.015 |
| Scholarly communication | 0.013 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.033 | 0.006 |
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".