Bibliographic record
Abstract
Ring Around the Maple is about the condition of children in Canada from roughly 1850 to 2000, a time during which “the modern” increasingly disrupted traditional ways. Authors Cynthia R. Comacchio and Neil Sutherland trace the lives of children over this “long century” with a view to synthesizing the rich interdisciplinary, often multi-disciplinary, literature that has emerged since the 1970s. Integrated into this synthesis is the authors’ new research into many, often seemingly disparate, archival and published primary sources. Emphasizing how “the child” and childhood are sociohistoric constructs, and employing age analytically and relationally, they discuss the constants and the variants in their historic dimensions. While childhood tangibly modernized during these years, it remained a far from universal experience due to identifiers of race, gender, culture, region, and intergenerational adaptations that characterize the process of growing up. This work highlights children’s perspectives through close, critical, “against the grain” readings of diaries, correspondence, memoirs, interviews, oral histories and autobiographies, many buried in obscure archives. It is the only extant historical discussion of Canadian children that interweaves the experiences of First Nations, Métis, and Inuit children with those of children from a number of settler groups. Ring Around the Maple makes use of photographs, catalogues, advertisements, government publications, musical recordings, radio shows, television shows, material goods, documentary and feature films, and other such visual and aural testimony. Much of this evidence has not to date been used as historical testimony to uncover the lives of ordinary children. This book is generously illustrated with photographs and ephemera carefully selected to reflect children’s lives, conditions, interests, and obligations. It will be of special interest to historians and social scientists interested in children and the culture of childhood, but will also appeal to readers who enjoy the "little stories" that together make up our collective history, especially when those are told by the children who lived them.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.006 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.021 | 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".