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Record W1560011764 · doi:10.1111/cag.12121

Navigating jurisdiction: local and regional strategies to access economic benefits from mineral development

2014· article· en· W1560011764 on OpenAlexafffundvenue
Karen Heisler, Sean Markey

Bibliographic record

VenueCanadian Geographies / Géographies canadiennes · 2014
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsSimon Fraser University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPoliticsBusinessRevenueJurisdictionLocal governmentNegotiationResource (disambiguation)Government (linguistics)Economic growthPublic administrationPolitical scienceEconomicsFinance

Abstract

fetched live from OpenAlex

Abstract This article examines how concepts of territory and scale are used to create places of benefit from resource activities in remote rural regions. Our case study of mineral development in northwest British Columbia compares the experiences of First Nation, municipal and regional governments in accessing economic benefits from mineral development. Territorial land claims are changing the multi‐scalar jurisdictional hierarchy and the socio‐spatial relations between senior levels of government, resource companies, and local communities. The territorial rights of First Nation governments provide the political leverage to negotiate with companies seeking to “earn a social license” to operate within their territories. Municipal and regional governments, however, are restricted by their role in the multi‐scalar jurisdictional hierarchy. In response, municipal and regional governments are devising strategies to capture economic benefits. We discuss three economic development strategies used to access benefits from mineral development activities: negotiating commitments during the environmental assessment process, investment attraction strategies, and lobbying the provincial government for a share of the resource revenues generated from mining. These strategies reflect the political and economic context for local government in remote resource‐dependent regions and the changing socio‐spatial relations between senior levels of government, resource companies, and First Nation, municipal and regional governments.

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 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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.626
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
Bibliometrics0.0010.001
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 head0.009
GPT teacher head0.194
Teacher spread0.185 · 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 teacher head, not a consensus.

Study designOther design
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

Citations11
Published2014
Admission routes3
Has abstractyes

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