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Record W3210317694 · doi:10.1080/1088937x.2021.1995066

Nordicity and its relevance for northern Canadian infrastructure development

2021· article· en· W3210317694 on OpenAlexafffundabout
Katharina Koch

Bibliographic record

VenuePolar Geography · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsUniversity of Calgary
FundersWestern Economic Diversification CanadaGovernment of Alberta
KeywordsRelevance (law)Regional scienceGeographyEnvironmental planningEnvironmental resource managementBusinessPolitical scienceEnvironmental science

Abstract

fetched live from OpenAlex

Infrastructure development in Canada’s northern regions remains a challenge. Although scholars and policy-makers recognize the significant socio-economic potential of northern infrastructure, the prevailing piecemeal approach does not respond to many of the challenges faced by Indigenous communities. A pan-Canadian approach, such as a Northern Corridor, can circumvent some of the disadvantages stemming from fractured and uncoordinated initiatives but it still underlies the diverse environmental and socio-economic conditions across the Canadian North. The Nordicity index, originally developed by Hamelin, reflects northern Canada’s diversity and has been applied as a public policy tool, e.g. for determining northern living allowances or adapted for transportation development. However, these indices are spatio-temporally fixed which means they do not recognize changing spatial patterns of northern mobility. Thus, this paper argues that northern infrastructure development should be informed by Indigenous spatial practices of mobility. To this aim, the paper investigates the role of Nordicity in Canadian policy-making and analyses how northern Indigenous spatial practices of mobility have transformed throughout the last century. The Nordicity index recognizes the environmental and socio-economic conditions across Canada’s diverse northern regions but it should be complemented with an analysis of the spatial practices of northern Indigenous Peoples to inform future infrastructure development.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.760
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 studies0.0010.000
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 head0.012
GPT teacher head0.264
Teacher spread0.252 · 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 designObservational
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

Citations8
Published2021
Admission routes3
Has abstractyes

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