The Demography of Canada and the United States from the 1980s to the 2000s: A Summary of Changes and a Statistical Assessment
Bibliographic record
Abstract
Canada and the United States have enjoyed vigorous population growth since the early 1980s. Although mortality is slightly higher in the United States than in Canada, this is largely offset by much higher fertility, with a total fertility rate at replacement level, compared with just 1.5 children per woman in Canada. The United States is also the world's largest immigrant receiving country, although its immigration rate is only half that of Canada, where today one person in five is foreign-born, versus one in eight in the United States. Based on recent trends in fertility, mortality and international migration, the populations of these two North American countries will continue to grow over the next five decades, but at a progressively slower pace. The most acute demographic issue today is not, as in Europe, that of imminent population decline, but rather of the geographic and social inequalities which have increased steadily since the early 1980s and which are reflected in major fertility and health differentials between regions and social groups.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.014 | 0.041 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".