Bibliographic record
Abstract
Abstract Eighteenth-century children’s voices are usually distant echoes, but this book uses art, military records, and autobiography to examine how children experienced war, and how adult attitudes to childhood affected this turbulent period in Britain’s history. “Children” are understood broadly, generally meaning anyone from infancy to (roughly) 18 years of age. The emphasis here is on youngsters’ “perspective” and “experience,” and—to a lesser degree—their “agency.” Though it answers Sarah Maza’s call to write history “through” children, this book agrees with her critics that there is equal value in looking at children’s lived history as well. Childhood and War in Eighteenth-Century Britain thus examines both how war affected youngsters and how concepts of childhood affected war. It is focused on the years stretching from mid-century to the aftermath of the battle of Waterloo. There is an ambiguity to contemporaries’ attitudes to children and war in this period. On the one hand, Enlightenment appreciation of childhood sought to protect youngsters from war’s horrors. On the other, military goals all too frequently trumped concerns for children’s safety and stability.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.618 | 0.426 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".