Julia M. Gossard. <i>Young Subjects: Children, State-Building, and Social Reform in the Eighteenth-Century French World</i>.
Bibliographic record
Abstract
Montesquieu, Charles Duclos, Jean-Jacques Rousseau, and many others in the eighteenth-century French world wrote about the role that schools could or should play as incubators of civil society and apprenticeships for political life. They emphasized the value of instruction in the vernacular, the benefits of vocational training, the importance of teaching practical ethics, and the promise of allowing students some degree of collective self-governance. While the question of education gave rise to wide-ranging and sometimes contentious debates, most of the writers who participated in those debates shared a sense that childhood, and especially adolescence, offered an opportunity for children to be prepared for the political roles they would someday assume. Had they read Julia M. Gossard’s insightful new book, Young Subjects: Children, State-Building, and Social Reform in the Eighteenth-Century French World, these authors might have seen that children were already living political lives, not just as the objects of adults’ attention or instruction but as political actors and agents themselves.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.020 | 0.007 |
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".