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Record W3177711518

Bai Shan Lin: The Chinese Logger with Multiple Interests in Guyana

2016· article· en· W3177711518 on OpenAlexaff
Janette Bulkan

Bibliographic record

VenueSSRN Electronic Journal · 2016
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsVictoryGovernment (linguistics)General partnershipForeign direct investmentPolitical scienceState (computer science)ChinaInvestment (military)EconomyRule of lawBusinessInternational tradeLawEconomicsPolitics
DOInot available

Abstract

fetched live from OpenAlex

Bai Shan Lin (BSL), a partially state-owned Chinese logging company began operating in 2007 in Guyana, a small but resource-rich South American country nestled between Venezuela and Suriname on the Caribbean coast to the north of Brazil. The victory of the ‘A Partnership for National Unity’ (APNU) coalition in Guyana’s May 2015 elections signalled the end to the uninterrupted rule of the Progressive People’s Party (PPP) that had begun in 1992. The APNU coalition had promised during its election campaign that the “rule of law” would prevail under its watch, and that companies benefitting from Foreign Direct Investment (FDI) agreements would have to comply with both the terms of their contracts and Guyanese law. Yet Chinese companies, such as BSL, continue to dominate. The Government of Guyana needs to enforce laws to ensure forest conservation.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.084
Threshold uncertainty score0.167

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0190.006
Scholarly communication0.0050.002
Open science0.0010.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0150.001

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 head0.003
GPT teacher head0.190
Teacher spread0.187 · 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 designNot applicable
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
Published2016
Admission routes1
Has abstractyes

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