MétaCan
Menu
Retour à la cohorte
Enregistrement W4415586852 · doi:10.21083/crrf.v29i1.8520

Keynote Panel Discussion - Rural Entrepreneurship, Innovation, and Economic Development

2025· article· W4415586852 sur OpenAlexaboutno aff
Heather Hall, T. van den Berg

Notice bibliographique

RevueProceedings of the Canadian Rural Revitalization Foundation · 2025
Typearticle
Langue
DomaineBusiness, Management and Accounting
ThématiqueEntrepreneurship Studies and Influences
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCommercializationEntrepreneurshipPanel discussionRegional planningCommunity developmentPrivate sectorPublic policyUrban planning

Résumé

récupéré en direct d'OpenAlex

Keynote panel discussion with Heather Hall, Tjaart Van den Berg, and Terry Van Horn. A brief biography of each speaker is listed below Heather Hall is an Assistant Professor in the Economic Development and Innovation program in the School of Environment, Enterprise and Development at the University of Waterloo. Heather grew up in Northern Ontario and has a professional and personal interest in researching planning and economic development in northern regions. This includes: regional development planning, policy and practice; community readiness and community impacts related to natural resource development; and innovation and entrepreneurship in rural and northern contexts. Heather is the co-lead of the University of the Arctic’s thematic network on the Commercialization of Science and Technology for the North and she is the co-author of the newest edition of Planning Canadian Regions. Her research has been recognized nationally and internationally by the Canadian Association of Geographers’ Ontario division (CAGONT), the Innovation Systems Research Network (ISRN), the Regional Studies Association and she is an alumnus of the Arctic Frontiers emerging leaders program. Tjaart Van den Berg is CEO of LandInfo Technologies Inc. He has a Masters degree in Urban and Regional Planning with 30 years international experience in the development and implementation of GIS in the public and private sector. Tjaart was born and educated in South Africa and has been working with local governments in Canada for more than 20 years. In the course of his work, he has become an expert in developing and applying GIS technologies to support municipal infrastructure and services. Tjaart is passionate about assisting municipalities to be more effective in what they do. In recent years, he focused his work on designing solutions to help smaller municipalities with asset management planning needs and implementation. In addition to assisting numerous municipal and private sector clients to implement GIS and Asset Management systems in Canada, the USA and South Africa, Tjaart actively promotes the awareness of geospatial technologies. He is a regular speaker at universities and professional institutions and has been working closely with various research institutions to develop innovative technology and procedures that improve the use of GIS and Asset Management. Terry Van Horn and her family moved to Trail, BC in 2001. Using her chemical sciences background, her experience in working in industry towns of Mackenzie and Prince George, as well as her business diploma Terry joined the Kootenay Association for Science and Technology (KAST) in 2004. During her 8 years at KAST, she learned that collaboration, team work, and relationship building are necessities in rural communities where selling the viability of an idea and a region is fundamental to success. Further expanding on her skills and knowledge in 2012 Terry joined the Lower Columbia Initiatives Corporation (LCIC). As the regional Economic Development Officer she continues to promote opportunities and drive economic and business growth through strong partnerships and a passion like no other. Terry and her family are grateful for their life in this beautiful region and plan to live a long and healthy life playing golf close to their children and, hopefully one day, grand children. Video in English: https://www.youtube.com/watch?v=nK4b07xfflQ. Vidéo en français: https://www.youtube.com/watch?v=4K3I0_uTLDI

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Études des sciences et des technologies, Communication savante
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,226
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,002
Études des sciences et des technologies0,0010,000
Communication savante0,0010,002
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,017
Tête enseignante GPT0,231
Écart entre enseignants0,214 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueProceedings of the Canadian Rural Revitalization FoundationMême sujetEntrepreneurship Studies and InfluencesTravaux en français237 207