Bibliographic record
Abstract
Canada’s 2007 Report to the Trade Policy Review Mechanism, which covered the period 2003 to February 2007, told a story of an expanding and energized economy in a relatively stable global economic environment. In the current period under the review (2007-2010), the global financial and economic crisis of late 2007 to 2009 posed significant challenges to the Canadian economy, although it has generally proven to be robust and has rebounded solidly. This global crisisled to a sharp decline in global trade, reduced Canadian exports and weakened business and consumer confidence, significantly lowering employment and output. Employment in Canada fell by 427,900 during that period, the unemployment rate rose to 8.7 percent, and real gross domestic product (GDP) declined by 3.4 percent before recovery gained a foothold in the second half of 2009. Canada has more than recouped all of the loss in output experienced during the recession – the best performance in the G-7. Furthermore, Canada has more than recovered all of the jobs lost during the recession, with some 467,300 jobs having been created between July 2009 and January 2011.
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.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.308 | 0.144 |
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".