Economic shock and regional resilience: Continuity and change in Canada's regional employment structure, 1987–2012
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.
Bibliographic record
Abstract
This article analyses regional resilience to economic shock in Canada from 1987 to 2012, a period that included severe recessions and major free-trade agreements. Employment is cross-tabulated by region, industry and gender and partitioned cumulatively using three-way multifactor partitioning for each period from 1987–1988 to 1987–2012. Employment loss in each recession is found to be more closely associated with industry-mix in the preceding growth period than with the region effect. At each recession, manufacturing had much bigger employment losses and a much weaker recovery than business services. Thus manufacturing amplifies economic shocks, while business services act as regional shock absorbers. Manufacturing employment decline in Ontario was influenced by trade liberalization and far exceeds what would be expected from the industry and region effects alone. Female employment growth outpaced male employment growth in every region and in every industry group apart from business and appeared to be more resilient to recession. But corrected for their industry composition and regional disparities, these gender differences are substantially reduced.
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 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 it