Bibliographic record
Abstract
Abstract Lands of recent settlement refers to countries settled predominantly by European migration during the nineteenth and twentieth centuries, such as the United States, Canada, Argentina, Uruguay, Australia, and New Zealand. Current scholarship on the lands of recent settlement reveals a very active agenda of comparative studies covering a broad range of areas and issues: culture, institutions, gender, ethnicity, labor, national identity, geography, ecology, environment, noneconomic factors of growth, and transnationalization and globalization. In explaining the different levels of development between lands of recent settlement and the rest of the world, traditional explanations pointed to propitious external factors and factor endowments. These explanations include the analysis of the history of the United States based on the notion of “frontier development” and the staple theory of growth. Meanwhile, recent works debate whether institutions, culture, or geography plays a crucial role. These works focus on the social, domestic, geographic, and biological elements of development, the cultural and institutional legacy of colonialism, as well as questions on gender, ethnic, and national identity. Although they do not reject the importance of foreign demand, capital, and labor in explaining the development of the lands of recent settlement, they question the adequacy of interpretations based solely on economic factors. Ultimately, the most important contribution of the study of development of lands of recent settlement is in the area of an analysis of transnational networks and globalization.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".