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Record W2513910787 · doi:10.1093/forestry/cpw036

Social licence to operate and forestry – an introduction

2016· article· en· W2513910787 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

VenueForestry An International Journal of Forest Research · 2016
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsUniversité de Moncton
Fundersnot available
KeywordsCorporate governanceIndigenousPublic relationsTheme (computing)Political scienceNexus (standard)Government (linguistics)SociologyPublic administrationEngineeringManagementEconomics

Abstract

fetched live from OpenAlex

This special issue aims to explore a variety of strands of research enquiry into social licence to operate and forestry. Emerging from a successful technical session at the 2014 IUFRO World Congress, we present eight conference and invited papers. These papers are aligned into three themes – theoretical approaches, pragmatic use and governance. The theoretical approaches include a systematic review, social licence and social acceptance, and social licence as a social contract. The pragmatic theme includes an analysis of social licence in the media and two analyses of the social licence and corporate social responsibility nexus. The governance theme encompasses two papers, one exploring public opposition to government policy through a social licence framework and the other social licence from an indigenous perspective.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.402
Threshold uncertainty score0.348

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.041
GPT teacher head0.356
Teacher spread0.314 · 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