Court and Tax Records from the Early American Frontier
Bibliographic record
Abstract
The data utilised in the book, Making the Frontier Man: Manhood, Violence, and Authority in the Early Western Backcountry, ca.1750-1815, was collected principally from archives in the United States, although some microfilm resources were also utilised. A full list of the sources of the data are listed in the ReadMe file. The principal sources utilised were the record books of the local county courts, most frequently the Court of Quarter Sessions or the Court of Common Pleas. For some counties, other archival material such as ended causes were also consulted to provide further detail of cases. The data was cross-referenced with tax records obtained from a range of published and archival resources, and also cross-referenced with a database constructed to explore ethnicity. The latter is not included here. Because of some simplification of the data, and the removal of some items for copyright issues, the data may not exactly match the tables in the book. The study examined court records of cases of petty crime based on 6,500 indictments in fourteen different counties across the backcountry of Virginia, Pennsylvania, Ohio, and Kentucky, from the mid-eighteenth century to the early nineteenth century and investigates patterns of violent behaviour and petty crime. Counties: Champaign OH, Christian KY, Cumberland PA, Fairfield OH, Frederick VA, Harrison KY, Lancaster PA, Mason KY, Muhlenberg KY, Rockbridge VA, Washington County PA and Washington OH. Included are the raw court and tax data that were used for the project. Some materials have been redacted for copyright reasons, and also the tables have been edited to ensure consistency throughout. Court and Tax Records from the Early American Frontier is made available under the Open Data Commons Attribution License: http://opendatacommons.org/licenses/by/1.0/ Keywords: Violence, Masculinity, Gun Culture, Warfare, Gender, Frontier.
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 | 0.009 | 0.018 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".