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Record W3035473234 · doi:10.20659/jfp.22.2_29

Does Resilience of the Forest Bring Prosperity to Local Regions?

2018· article· en· W3035473234 on OpenAlexaboutno aff
Naoto Matsumura

Bibliographic record

VenueJournal of Forest Planning · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSustainabilityForest managementCertified woodProsperitySustainable forest managementGeographyEnvironmental resource managementBusinessForestryAgroforestryEcologyEnvironmental scienceEconomicsEconomic growth

Abstract

fetched live from OpenAlex

Forest resources in Japan have reached a mature stage. Since the dawn of history, Japan has never seen such rich stock, and they are proud. However, both of the forest types, plantation forest and natural forest, have their own problems. Since the earth summit in 1992, the discussion on criteria and indicators has been continued on the platform of Montreal Process at a national level to include countries in the Pacific region, such as Japan, from the aspects of resources, environment and society in order to measure sustainability and to integrally observe their sustainability. At the level of forestry entity, forest certification systems like ISO14001 or FSC have been introduced to check the status or sustainability of forest management and forest products.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.071
Threshold uncertainty score0.717

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.032
GPT teacher head0.299
Teacher spread0.267 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2018
Admission routes1
Has abstractyes

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