The Impact of Interprovincial Migration on Aggregate Output and
Bibliographic record
Abstract
Interprovincial migration has played an increasing role in Canada’s economy over the last three years. This report attempts to estimate the number of workers moving in and out of each province, and to estimate the total output gains due to interprovincial migration. It breaks output gains into two sources: gains due to increased employment, and gains due to re-allocation of workers between provinces with lower productivity to provinces with higher productivity. A record number of people, 370,791, equivalent to 1.14 per cent of all Canadians, migrated between provinces in 2006. This is 50 per cent more than in 2003. In 2006, the net output gains arising from interprovincial migration are estimated to be $883.1 million (1997 constant prices), or 0.074 per cent of GDP. Higher employment rates in provinces experiencing a net positive balance of interprovincial migrants were responsible for $398.0 million of the gains and higher output per worker in these provinces was responsible for $485.0 million. Interprovincial migration was also responsible for 2.82 per cent of real GDP growth over in 2006 and 1.27 per cent of real GDP growth from
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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".