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Record W2972570436

The Case of a Home Grown High-Tech Sector in a Small Canadian City

2019· article· en· W2972570436 on OpenAlexaffvenueabout
Nicole Bruce, Laura Lamb

Bibliographic record

VenueJournal of rural and community development · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRural development and sustainability
Canadian institutionsThompson Rivers University
Fundersnot available
KeywordsHigh techGeographyWelfare economicsEconomyPolitical scienceRegional scienceHumanitiesEconomic geographyArchaeologyEconomicsArt
DOInot available

Abstract

fetched live from OpenAlex

High-tech firms are associated with innovation and efficiency, and the attraction of such firms is a coveted goal for the economic development of most urban centres. This research examines the location decision factors of high-tech firms in the small Canadian city of Kamloops, British Columbia. Semi-structured interviews were used to collect information from 18 high-tech firms in Kamloops about their reasons for locating in a small city. The data was analysed with quantitative and qualitative techniques. The results indicate that a combination of soft and hard factors was influential in the decision to locate in Kamloops with soft factors associated with quality of life factors dominating the decision. The results also suggest that business supports have played a significant role in the success of some firms. The research results are expected to be valuable to policymakers concerned with economic development in small urban centres. Keywords: high-tech; economic development; urban development; location theory; Canada _______________________________________ Etude de cas 1: Le cas d'un secteur high-tech local dans une petite ville canadienne Resume Les entreprises de haute technologie sont associees a l'innovation et a l'efficacite, et l'attrait de ces entreprises est un objectif convoite pour le developpement economique de la plupart des centres urbains. Cette recherche examine les facteurs de decision de localisation des entreprises de haute technologie dans la petite ville canadienne de Kamloops, en Colombie-Britannique. Des entrevues semi-structurees ont ete utilisees pour recueillir des informations aupres de 18 entreprises de haute technologie de Kamloops sur les raisons de leur implantation dans une petite ville. Les donnees ont ete analysees avec des techniques quantitatives et qualitatives. Les resultats indiquent qu'une combinaison de facteurs mous et durs a influe sur la decision de s'implanter a Kamloops avec des facteurs mous associes a des facteurs de qualite de vie dominant la decision. Les resultats de la recherche devraient etre precieux pour les decideurs politiques concernes par le developpement economique dans les petits centres urbains. Mots-cles : haute technologie ; developpement economique ; developpement urbain ; theorie de l'emplacement ; Canada

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.514
Threshold uncertainty score0.866

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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)0.0000.000

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 head0.017
GPT teacher head0.199
Teacher spread0.182 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2019
Admission routes3
Has abstractyes

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