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Record W2567482821 · doi:10.3390/f7120317

Global Ecological Signpost, Local Reality: The Moraballi Creek Studies in Guyana and What Happened Afterwards

2016· article· en· W2567482821 on OpenAlexaff
Janette Bulkan, John Palmer

Bibliographic record

VenueForests · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicConservation, Biodiversity, and Resource Management
Canadian institutionsUniversity of British Columbia
FundersYale University
KeywordsRainforestNegotiationLoggingDemocracyLanguage changeTraining (meteorology)EcologyPoliticsTable (database)Political ecologyPolitical scienceEnvironmental resource managementGeographyEconomicsLaw

Abstract

fetched live from OpenAlex

There is a common assumption that when sustainable forest management (SFM) is not practised the reasons are usually a lack of knowledge or lack of training in applying those techniques. We trace the intermittent development of techniques for SFM in the tropical rainforest of Guyana (South America), beginning with the classical observational ecology at Moraballi Creek in 1929. We reference the deliberate lack of application of SFM in spite of access to science-based information and repeated training. In this country, a precarious political democracy is destabilised by the gigantic profits from illegal logging and log trading which support corruption in the sector and generally across regulatory systems. The highest rate of graduate emigration in the world contributes to the difficulty of creating the core of moral leadership required to rise above the local tradition of under-the-table negotiation in place of the rule of law.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.152
Threshold uncertainty score0.302

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0040.008
Scholarly communication0.0040.004
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.041
GPT teacher head0.273
Teacher spread0.233 · 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 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

Citations6
Published2016
Admission routes1
Has abstractyes

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