Family and Justice in the Archives : Historical Perspectives on Intimacy and the Law
Bibliographic record
Abstract
Legal archives offer extraordinary opportunities for understanding intimacies across time and space. Family and Justice in the Archives presents a series of fascinating historical essays that unpack stories of familial, domestic, and sexual intimacy from the records left behind by legal processes, providing rich new insights about family, gender, race, sex, culture, identity, and daily life. Contributors examine the written traces left by public proceedings that occurred in legally sanctioned spaces of social regulation, from notaries’ offices to criminal and civil courtrooms to legislatures. Focusing on the past two centuries and spanning five continents, the essays explore a wide range of topics including marriage, citizenship, inheritance, indentured servitude, infanticide, juvenile justice, parental abuse, bigamy, and sex work. Mindful of the ethical questions that arise when scrutinizing the details of people’s most vulnerable moments, these authors also demonstrate how individuals navigated and sometimes challenged legal prescriptions and processes to address systemic imbalances of power. Family and Justice in the Archives reveals the wealth of detail that emerges from a close reading of documents generated by legal processes in the past, offering valuable new perspectives on the complex personal lives of so-called ordinary people in former times.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.014 | 0.016 |
| Scholarly communication | 0.010 | 0.010 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.014 | 0.002 |
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".