Resilience Revisited: Assessing the Impact of the 2007–09 Recession on 83 Canadian Regions with Accompanying Thoughts on an Elusive Concept
Bibliographic record
Abstract
Dubé J. and Polèse M. Resilience revisited: assessing the impact of the 2007–09 recession on 83 Canadian regions with accompanying thoughts on an elusive concept, <i>Regional Studies</i>. Viewing the 2007–09 recession as an exogenous shock, the paper proposes an assessment of the ‘resilience’ of 83 Canadian regions using four standard metrics: population, employment, unemployment and employment rates. For each metric, regions are evaluated on three posited dimensions of ‘resilience’: resistance, rebound and recuperation. The results point to generally responsive regional economies with a range of reactions to the recessionary shock a priori compatible with the notion of ‘resilience’. However, the range of observed responses, depending on metrics used, methods applied and contextual considerations, leaves much room for interpretation, making it difficult to exclude players. The assessment serves in turn as a laboratory for a reflection on ‘resilience’ as a useful analytical concept in regional studies. It is concluded that the operational definition of ‘resilience’ remains problematic.
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".