Weathering the Global Financial Crisis: An Overview of the Canadian Experience
Bibliographic record
Abstract
The initial signs of a foundering American subp rime mortgage market have proven to be merely the tip of the iceberg of dubious financial products and practices leading to the present economic crisis.In this time of heightened financial inquiry and reform, it is worth examining the impact of the financial crisis on the Canadian economy, as it has been markedly different from the American experience.Noteworthy is the fact that Canadian financial systems appear to have been remarkably insulated from much of the financial storm.This paper argues that Canadian resilience can largely be attributed to a more conservative regulatory environment, which curtailed much of the problematic behavior that has led the world to the point of financial crisis.Not an exhaustive study, this paper provides an overview of the impacts of the economic crisis on Canada and highlights key factors that have contributed to the Canadian experience. I. INTRODUCTIONRUMBLINGS of an unsteady American subprime mortgage mar- ket in early 2007 have since cascaded into an economic crisis of global proportions, epitomized by the financial failure of numerous banks and corporations, as well as prodigious government bailouts of those entities deemed too large to fail.Even now, some two years later, many countries remain in the throes of this "global financial crisis," as it continues to negatively impact national economies, thereby affecting nearly every aspect of society.While the financial crisis has not left any country entirely unscathed, the last couple of years have demonstrated the disparate effects of the financial turmoil on numerous countries around the globe-generating curiosity as to the reasons for its differing impact and whether the particular features of the "less affected" econo-*Research is current to July 2009.
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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.023 |
| Science and technology studies | 0.020 | 0.008 |
| Scholarly communication | 0.012 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.012 | 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".