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Record W2048216741 · doi:10.5558/tfc79113-1

Non-timber forest products in community development: Lessons from the Russian Far East

2003· article· en· W2048216741 on OpenAlexvenueaboutno aff
Nikolay Shmatkov, Tim Brigham

Bibliographic record

VenueThe Forestry Chronicle · 2003
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessSustainabilityLivelihoodEnvironmental resource managementNatural resourceAgency (philosophy)Environmental planningSustainable developmentNatural resource managementPolitical scienceGeographyEcologyAgricultureEconomicsSociology

Abstract

fetched live from OpenAlex

One of the components of the IUCN – The World Conservation Union project, "Building Partnerships for Forest Conservation and Management in Russia" funded by the Canadian International Development Agency (CIDA), is designed to assist remote communities of the Russian Far East to sustainably develop their NTFP resources. In our project, NTFPs are viewed as one part of a local sustainable livelihood strategy (including tourism, cultural activities, hunting, herding). We provide business and legal issues training, consultation on small business and community-based enterprise development, and support for sustainability and monitoring programs. One of the basic principles of the project has been a participatory approach to project development and implementation. It is the hope of project participants that the successful development of NTFP and other opportunities will decrease the pressure to move forward with potentially damaging resource exploitation activities. Although community economic development is the primary goal, the revival and sharing of indigenous knowledge about NTFPs has been identified by participants as a key issue, and is a focus of educational materials being developed through the project. Key words: non-timber forest products (NTFPs), community economic development, sustainable use of natural resources, Native communities, traditional knowledge, the Russian Far East, Kamchatka, Sakhalin, boreal forests, IUCN – The World Conservation Union, Canadian International Development Agency (CIDA)

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.452
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0090.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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.

Opus teacher head0.061
GPT teacher head0.344
Teacher spread0.283 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations8
Published2003
Admission routes2
Has abstractyes

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