The Gender and Class Dimensions of a Rural Childhood: Martin Butler in New Brunswick, 1857-1871
Bibliographic record
Abstract
explored in terms of the problematic of class, gender and rural identity in Deborah Stiles, “Contexts and Identities: Martin Butler, Masculinity, Class, and Rural Identity, the Maine-New Brunswick Borderlands, 1857-1915”, Ph.D. thesis, University of Maine, 1997. 2 Recent Canadian contributions to the history of childhood include Robert McIntosh, “Constructing the Child: New Approaches to the History of Childhood in Canada”, Acadiensis, XXVIII, 2 (Spring 1999), pp. 126-40 and Neil Sutherland, Children in English-Canadian Society: Framing the Twentieth-Century Consensus (Toronto, 1978; reprint Waterloo, 2000). Childhood history shares a natural link with family history. See, for example, the essays in Bettina Bradbury, ed., Canadian Family History: Selected Readings (Toronto, 1992). Studies from labour history focusing on boys in the coal mines have looked at aspects of childhood where childhood concerned labouring and gender identity. See Ian MacKay, “The Realm of Uncertainty: The Experience of Work in the Cumberland Coal Mines, 1873-1927”, Acadiensis XVI, 1 (Autumn, 1986), pp. 3-57; Robert McIntosh, “The Boys in the Nova Scotian Coal Mines: 1873-1923”, Acadiensis XVI, 2 (Spring 1987), pp. 35-50 and his DEBORAH STILES
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.018 | 0.011 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| 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".