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Record W4415586852 · doi:10.21083/crrf.v29i1.8520

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

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

Bibliographic record

VenueProceedings of the Canadian Rural Revitalization Foundation · 2025
Typearticle
Language
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsnot available
Fundersnot available
KeywordsCommercializationEntrepreneurshipPanel discussionRegional planningCommunity developmentPrivate sectorPublic policyUrban planning

Abstract

fetched live from 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

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.226
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.002
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 head0.231
Teacher spread0.214 · 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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