Bibliographic record
Abstract
Over 35 years ago, the American political scientist Peter J. Katzenstein noted that, in the context of major economic and commercial transformations, “small states” generally adapt by implementing or refining interventionist policies and “neo-corporatist” industrial strategies, allowing for significant cooperation between political, economic and social actors. In this chapter, we take up Katzenstein’s famous thesis by focusing on the case of Quebec through the prism of a particularly strategic sector: entrepreneurial finance. We first discuss the recent resurgence of “economic nationalism” in industrialised countries, as this allows us to better understand, in a second step, what characterises Quebec’s approach in this context, adapting to this new international environment due to its financial ecosystem and neo-corporatist economic model, in line with the logics identified by Katzenstein. We seek to explain why and how the strong intervention of the Quebec state in the entrepreneurial finance sector is linked to Quebec’s vulnerabilities as a “small nation” and, therefore, underpinned by an economic nationalism that induces strong preferences for the channelling of capital to strategic sectors, the safeguarding of national ownership over key firms and, more recently, the promotion of industrial autonomy.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.032 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".