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Record W2047273892 · doi:10.1162/glep.2008.8.3.103

Private Rule-Making and the Politics of Accountability: Analyzing Global Forest Governance

2008· article· en· W2047273892 on OpenAlex

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

VenueGlobal Environmental Politics · 2008
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal trade, sustainability, and social impact
Canadian institutionsInstitute on Governance
Fundersnot available
KeywordsAccountabilityPoliticsStewardship (theology)Corporate governanceCertificationCertified woodPolitical sciencePublic administrationGlobal governanceBusinessLawFinance

Abstract

fetched live from OpenAlex

Private rule-making features prominently on the research agenda of International Relations scholars today. The field of forest politics in particular has proven to be a lively arena for experimenting with novel policies (for example, third party certification and labeling) and procedures (for example, power-sharing in stakeholder bodies). This article focuses on the Forest Stewardship Council (FSC), one of the earliest and most institutionalized private certification schemes, in order to assess the role and relevance of accountability politics for global forest governance. Specifically, we ask three related questions: first, what role did a deepening accountability crisis and the resulting reconstruction of accountability play in the formation of the FSC? Second, how is accountability organized within the FSC? And finally, what accountability outcomes emerge as a result of the FSC's policies and operations? The article closes with some reflections about the limitations of private-based accountability in global environmental politics.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.187
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.001
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 head0.012
GPT teacher head0.239
Teacher spread0.227 · 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