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Record W2742565153

Economic transition in the Canadian north: Is migrant-induced, neo-endogenous development playing a role?

2017· article· en· W2742565153 on OpenAlexaffvenueabout
Caili Steel, Clare Mitchell

Bibliographic record

VenueJournal of rural and community development · 2017
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsEthnologyPolitical scienceGeographyEconomyHumanitiesWelfare economicsSociologyArtEconomics
DOInot available

Abstract

fetched live from OpenAlex

Economic transition is necessary to prolong the lifespan of formerly resource-dependent places. This article seeks to discover if migrant-induced, neo-endogenous development is contributing to this process in Dawson City, Yukon Territory, Canada. This once mine-dependent municipality emerged during the Klondike Gold Rush, but has since transitioned into a multi-functional space that capitalizes on its cultural assets. Using survey and interview data, we discover that migrants, particularly southern counterurbanites, have contributed to Dawson’s evolution. Their injection of externally accumulated capital has enhanced the community’s identity, mobilized local labour, and built local factor capacities. Our findings confirm that migrant-induced, neo-endogenous development is contributing to economic transition in this formerly resource-dependent region. Our results have implications for other isolated spaces, hoping to establish new economic identities. Keywords: in-migrants; neo-endogenous development; counterurbanites; Dawson City Resume La transition economique est necessaire pour prolonger la duree de vie des endroits auparavant dependants des ressources naturelles. Cet article cherche a decouvrir si le developpement neo-endogene du aux migrants contribue a ce processus, a Dawson City au Yukon, au Canada. Cette municipalite autrefois dependante de l'exploitation miniere, emergea lors de la ruee vers l'or de Klondike, mais est depuis devenue un espace multifonctionnel qui capitalise sur ses avantages culturels. A l'aide de sondages et de donnees d'entrevue, nous decouvrons que les migrants, particulierement ceux de la desurbanisation du sud, ont contribue a l'evolution de Dawson. Leurs apports de capitaux externes cumules ont ameliore l'identite de la communaute, mobilise la main-d'œuvre locale, et renforce les capacites locales de facteur. Nos conclusions confirment que les migrants-induits, le developpement neo-endogene contribue a la transition economique dans cette region anciennement dependante des ressources naturelles. Nos resultats ont des repercussions sur d'autres endroits isoles, souhaitant etablir de nouvelles identites economiques.

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)0.001
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 score0.874
Threshold uncertainty score1.000

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 studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.031
GPT teacher head0.205
Teacher spread0.174 · 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

Citations7
Published2017
Admission routes3
Has abstractyes

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