Precariousness or prosperity? The diverse faces of widowhood in rural Buenos Aires during the nineteenth century
Bibliographic record
Abstract
In this article, I will explore the resources and capacities women could mobilize in the countryside of Buenos Aires at the beginning of the nineteenth century when they had to confront the domestic crisis triggered by their husbands’ death. It is of course essential to study the foreseeable options (taking over the helm of the family farm, seeking refuge with relatives, or quickly remarrying) they had and the role played by what are commonly considered as crucial resources (family composition, patrimony, and networks). This study nevertheless seeks to identify other factors (notably the legal framework, patterns of colonization, and widows’ own know-how and experiences as farmers and settlers) that bring to light the specificity of widowhood in rural Buenos Aires during this period. As a consequence, the juridical aspects of inheritance proceedings and the concrete practices they reveal will be analyzed before I examine the wide social spectrum (namely the inhabitants of San Antonio de Areco, La Matanza, Quilmes, and San Vicente, four areas of rural Buenos Aires) registered by the censuses of 1813 and 1815.
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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 | 0.001 | 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".