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Record W2969123391 · doi:10.1111/geoj.12322

Is social licence “going rogue”?

2019· article· en· W2969123391 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

VenueGeographical Journal · 2019
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsDalhousie UniversityMemorial University of Newfoundland
Fundersnot available
KeywordsCONTESTResource (disambiguation)PoliticsTRACE (psycholinguistics)Political scienceSocial changePublic relationsBusinessLaw

Abstract

fetched live from OpenAlex

In this commentary we trace an important change in the use of social licence for resource‐intensive development projects. Social licence is shifting from an approach used by companies to improve relations with affected communities to a concept now used by environmental justice groups, non‐governmental organisations and local communities to contest unpopular resource‐intensive development projects. The term “going rogue” is a productive metaphor to explore this important change in the role of social licence. We focus on the different logics behind how social licence is being used by progressive groups to protest resource‐intensive development, weak state policies and broader economic processes. We end by exploring what the shifting terrain for social licence means for the politics of resource extraction.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.465
Threshold uncertainty score0.825

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)0.0010.000

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 head0.007
GPT teacher head0.201
Teacher spread0.195 · 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