Expectations of Aging as Gendered Political Discourse in 19th-century France
Bibliographic record
Abstract
Research framework: In 1881 the French Third Republic allocated yearly pensions to nearly 25,000 elderly citizens as reparations for political oppression suffered thirty years earlier during the previous regime. To receive a pension, each former political prisoner ( proscrit ), their widows or children, wrote letters describing their punishment and the wider multi-generational impact of that oppression. Objectives: This article uncovers understandings shared by Republican administrators and a particular group of their staunch working-class supporters - artisans, rural laborers, and small-town shopkeepers - of the definitions of old age, expectations for life trajectories, and how gender affected both expectations and experiences. Methodology: Historical, qualitative analysis of archival documents at the French National Archives and departments of the Ain, Allier, Drôme, Hérault, Rhône, Saône-et-Loire, Vaucluse and Yonne, France. Results: Analysis demonstrates pension applicants drew upon common understandings of gender and age-based roles to strengthen their claims to pensions both as erstwhile heroes of the newly democratic regime and as members of an indigent, elderly poor worthy of government aid. Conclusions: Former proscrits , their families and Republican administrators shared assumptions about the definition of the onset of old age as linked to gender; about expectations that elderly men would work indefinitely in old age until physically unable to do so but that the specter of elderly working women was shameful and a blot on Republican values; and about an understanding that pensions allowed a dignified old-age for both male and female applicants by undoing dangerous shifts in gender roles perceived as triggered by the political oppression decades earlier. Contribution: The article contributes to scholarship on changing European understandings of the gendered dimensions of old age in the late 19th century, just before decades of social welfare legislation.
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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 | 0.009 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.014 | 0.027 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".