Bibliographic record
Abstract
This special issue highlights recent work in the history of families in Canada and the United States. With full-count census data series from the mid-nineteenth century newly available for both countries since the mid-2010s, this issue shows how scholars are taking advantage of new possibilities for research in North American family history. The articles in this issue return to several important questions in the history of families on the continent. How did families adapt to high rates of migration over long distances, with many people moving to destinations several weeks travel from their original homes? In early and late adulthood, what have been the changing patterns of living independently, or choosing to live with parents, adult children, or relatives outside the direct line of descent? The distinctive regional and cultural patterns of fertility change in North America are also discussed. Methodologically the issue demonstrates how historians of the family are using recently-released large census datasets in distinct ways. Some are taking advantage of the ability to create new variables or measures from microdata. Others focus on particular areas of the continent, and integrate large-scale data with other sources. Linkage to other record sources is also increasingly common.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".