MétaCan
Menu
Back to cohort
Record W3120267221 · doi:10.1007/978-3-030-47150-7_16

The Remapping of Forest Governance: From Shareholder to Stakeholder

2020· book-chapter· en· W3120267221 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

VenueKnowledge and space · 2020
Typebook-chapter
Languageen
FieldBusiness, Management and Accounting
TopicGlobal trade, sustainability, and social impact
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsCorporate governanceStakeholderResource (disambiguation)Context (archaeology)BusinessShareholderDemocracyPolitical scienceGeographyPoliticsPublic relationsFinance

Abstract

fetched live from OpenAlex

Abstract Resource conflicts are widespread features of contemporary globalization. In forestry-related resource peripheries, such as British Columbia (BC), various societal stakeholders are demanding a reform of resource uses away from industrial priorities towards more ecological and cultural ones. Forest conflicts represent institutional clashes that lead to new forms of governance based on new inventories, resource maps, science, and zoning. The authors of this paper analyze the remapping of forest resources in BC as part of broader paradigmatic transformations of society and economy from shareholder to stakeholder models of resource governance, i.e. as a shift in policy-making from hierarchical control by governments and markets to more diffuse, democratic forms of governance. This process is accompanied by institutional innovation and thickening that still need to be assessed for their effectiveness. Whether stakeholder remapping can be certified as good governance remains a context-dependent empirical question.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.779
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 studies0.0000.000
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 head0.047
GPT teacher head0.247
Teacher spread0.201 · 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