An empirically grounded conceptual framework of the determinants of economic resilience: Insights from seven major Canadian regions
Bibliographic record
Abstract
Investigating the determinants of resilience has been a core research agenda in the regional economic resilience literature. However, no comprehensive conceptual framework of the determinants of resilience currently exists. Instead, the determinants are typically presented as a set or list of factors that influence the economic resilience of regions. A more comprehensive conceptual framework, illustrating how such determinants interact, is therefore needed. To address this gap, this paper develops an empirically grounded conceptual framework of the determinants of regional economic resilience. To do so, this paper conducted in-depth interviews with economic development practitioners ( n = 41) from seven major Canadian regions. In the developed conceptual framework, the paper highlights the interactive nature of the determinants of resilience, the importance of recognizing the ecological limits of regions, and the roles that firm-based and system-based actors play in shaping regional economic resilience.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".