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Record W4416132591 · doi:10.1080/00343404.2025.2568680

Entrepreneurship at the edge: Arctic entrepreneurs in Iqaluit, Nunavut Territory, Canada

2025· article· en· W4416132591 on OpenAlexafffundabout
Prescott C. Ensign, Christopher J. McCluskey

Bibliographic record

VenueRegional Studies · 2025
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsUniversity of OttawaWilfrid Laurier University
FundersSocial Sciences and Humanities Research Council of CanadaIndigenous and Northern Affairs Canada
KeywordsEntrepreneurshipArcticThe arcticHuman geographyRegional studies

Abstract

fetched live from OpenAlex

In order to understand entrepreneurship in Arctic Canada research needs to examine how the entrepreneurial process is impacted by an entrepreneur’s embeddedness within a local entrepreneurial ecosystem. Study findings indicate that this defines the identity of an entrepreneur, shapes social networks, drives innovation, identifies market opportunities, secures access to resources, creates jobs and contributes to social and economic development. The study contributes to an understanding of Arctic entrepreneurship and provides insight for economic development in remote regions.

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 score0.452
Threshold uncertainty score0.997

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 studies0.0040.000
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.057
GPT teacher head0.371
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

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

Citations0
Published2025
Admission routes3
Has abstractyes

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