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Record W7126371455 · doi:10.1093/scipol/scaf098

New industrial policy between territorial assumptions and spatial practices: the case of Technum Québec

2025· article· en· W7126371455 on OpenAlex
David Doloreux, Simon Baumgartinger-Seiringer, Richard Shearmur, Amélie Gauthier

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueScience and Public Policy · 2025
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicRegional resilience and development
Canadian institutionsMcGill UniversityHEC Montréal
Fundersnot available
KeywordsHierarchyPublic policyIndustrial policyPrivate sectorSpatial planningPolicy development

Abstract

fetched live from OpenAlex

Abstract Industrial and innovation policies enshrine geographic assumptions that are usually implicit, such as a spatial hierarchy of jurisdictions, a spatialized understanding of their likely impact, and a territorial view of stakeholders. For policies to succeed, these implicit assumptions need to align across stakeholders and be compatible with spatial practices. This is particularly the case for New Industrial Policies, which seek to re-shore strategic knowledge-based industries: these policies necessarily involve development in specific regions, and involve local, national, community, private and public stakeholders. In this paper, we study Technum Québec's innovation zone initiative in Bromont. We document and analyse how tensions are emerging as the province's understanding of the geographic processes and impacts of research-led semi-conductor development is misaligned with the spatial practices of corporations, universities and research centres, and does not take full account of the effect this policy, if successful, may have on local communities.

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.

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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.763
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
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 head0.083
GPT teacher head0.328
Teacher spread0.245 · 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