Bibliographic record
Abstract
Since the publication in 1960 of Philippe Ariès’s foundational, if problematic, Centuries of Childhood, the history of childhood has developed into a rich and varied field. At the annual conference of the Western Society for French History in 2018, a call for panelists for a roundtable on the history of childhood expanded into two separate panels ranging from the medieval era through the thirty glorious postwar years. The panelists and the audience grappled with questions about the social construction of age, the ages of childhood, and the challenges of finding sources for a group that left few “ego documents.” Although children per se never exercised political or global power, attention to children clarifies how critical children were to political and international systems. Material generated by children themselves can be difficult to locate, but adults generated plenty of material about children. The intersectionality of the history of childhood with fields like labor history, urban history, the history of the welfare state, and the history of psychology parallels the intersectionality of children themselves, who come from every race, social class, and gender. All humans, it turns out, start out as children.
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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.010 | 0.011 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.373 | 0.245 |
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".