The consequences of sibling rivalry on survival and reproductive success across different ecological contexts: a comparison of the historical Krummhörn and Quebec populations
Bibliographic record
Abstract
This article investigates the relationship between large families and the probability of offspring survival, marriage, and fertility across the historical populations of the Quebec (1670-1799) and Krummhörn regions (1720-1874).Both populations exist in agriculturally based economies, but differ in important ways.The Krummhörn population faced a fixed supply of land, which was concentrated amongst a small number of farmers.Most individuals were landless agricultural workers who formed a relatively competitive labor supply for the large farmers.In contrast, individuals in Quebec had access to a large supply of land, but with far fewer available agricultural workers, had to rely on their family to develop and farm that land.Results indicate that more siblings of the same gender were generally associated with increases in mortality during infancy and childhood, later ages of first marriage, and fewer numbers of children ever born.For mortality and age at first marriage, the effects of sibling formation appear strongest in the Krummhörn region.This indicates that although sibship effects appear in both ecological contexts, that the context of the region mattered in determining their magnitude.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".