Bibliographic record
Abstract
A version of McCracken's chapter was first delivered as a keynote address to one of Statistics Canada's annual conferences on the state of economic information in Canada. In this chapter, two of Sylvia Ostry's concerns come together: the challenges to Canada and the Canadian government created by globalization and the importance of keeping the Canadian public well informed and, indeed, involved in the generation of a sound information system.During Sylvia's tenure as chief statistician of Canada, she tried very hard to transform an outdated statistical institution into a modern information system attuned to new challenges and to changes in policy priorities.Globalization as such had not yet been recognized as the single most important change in the economic landscape.But Statistics Canada was in a much better position to face the challenges of globalization because of these initial investments in its analytical capabilities and the emphasis on policy relevance.th e m a n y f o r m s o f " g l o b a l i z a t i o n "In place of the old local and national seclusion and self-sufficiency, we have intercourse in every direction, universal interdependence of nations. 2
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 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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".