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Record W7097808336

The Southern Cone Countries and the Montreal Process A Vital Process for Addressing Global Forest Challenges. The Montreal Process The Southern Cone Countries and the Montreal Process

2010· article· en· W7097808336 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicForest Management and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsSustainabilitySustainable forest managementProcess (computing)BiodiversitySustainable developmentLegislationForest managementCertified wood
DOInot available

Abstract

fetched live from OpenAlex

Abstract: The Montreal Process, a Commitment to Sustainability This report highlights the key role played by the Montreal Process to help South American Member countries, to meet the essential current and future challenges and opportunities for conservation and sustainable forests management. Whereas forests play an important and multifaceted role- as carbon sinks, habitat for most terrestrial species and as the main source of fresh water and biomass- permanent collaboration and coordination measures are required to meet the challenges of sustainable forest management, at the operational, national and international level. Gradually each of our countries has taken steps to advance the implementation of sustainability in the global management of our forests. For example the unprecedented adoption of specific legislation for the sustainable management of native forests that has recently been enacted in the Republics of Chile and Argentina, and the efforts of the Eastern Republic of Uruguay to complement the high productivity wood biomass from forest plantations with the role of biodiversity conservation and soil and water protection that meet the native forests. In the same way, the Southern Cone countries

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.424
Threshold uncertainty score0.844

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0050.003
Scholarly communication0.0070.002
Open science0.0010.004
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0190.001

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 head0.012
GPT teacher head0.251
Teacher spread0.239 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreOther

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
Published2010
Admission routes1
Has abstractyes

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