The Economic Crises Through the Lens of Economic Well-being
Bibliographic record
Abstract
This report looks at how the economic crisis has unfolded in Canada and what will be the impacts on economic wellbeing. The shortfall is estimated to be approximately $12, 000 ($2007) per capita. In other words, given no economic crisis, GDP per capita in Canada would have likely been $1, 736 higher on average each year over the 2008-2014 period. Between October 2008 – the month at which employment peaked in Canada – and May 2009, net employment fell by 362, 500 persons. The negative effects of unemployment go well beyond loss of income. Roughly 60 per cent of the newly unemployed, compared to about 40 per cent in recent years, receive regular EI benefits, reflecting the concentration of employment losses among long term full-time employees (e.g. auto workers). Based on the experience of the recession of the early 1990s, we should expect an increase of about 4 percentage points in the after-tax poverty rate, which would reach 13.2 per cent in 2010.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.007 | 0.023 |
| Scholarly communication | 0.012 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".