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Record W2081638572 · doi:10.1505/ifor.10.4.619

Towards a new paradigm: the development of China's forestry in the 21 <sup>st</sup> century

2008· article· en· W2081638572 on OpenAlex
G. Wang, John L. Innes, Sara Wu, Shouhan Dai

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe International Forestry Review · 2008
Typearticle
Languageen
FieldEnvironmental Science
TopicForest Management and Policy
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsAfforestationLivelihoodChinaInvestment (military)BusinessGovernment (linguistics)Community forestryLoggingForestryNatural resource economicsRural developmentEconomic growthForest managementPolitical scienceGeographyEconomicsAgriculture

Abstract

fetched live from OpenAlex

SUMMARY China's forestry has been changing drastically since the country was affected by devastating floods in 1998. The government has launched a series of key national programmes and forest policy reforms. The scale and investment of these forestry programmes are already producing some tangible benefits to forest cover, the wood industry and rural livelihoods. Large areas are protected from logging, huge afforestation programmes are underway, and ongoing privatization offers hope of more efficient and effective operations that can create jobs and stimulate economic growth. However, the changes have been associated with many problems, particularly for rural communities that can no longer harvest wood and have now been displaced. This paper examines current patterns in forest development and the impact of this on the environment and economic and rural development.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.189
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.030
GPT teacher head0.277
Teacher spread0.247 · 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