Bibliographic record
Abstract
“Ruby wrote letters home almost every week....She wrote anything that came into her head: about her children and Fred, her housekeeping, food, clothes, her friends, activities, schemes for making money, her dreams for the future....Her letters, nave, intimate and lively, were always optimistic or poignant. We’d read them to each other on the phone or pass them around. Often we saved them.” So writes Edna Staebler in her introduction to this edited collection of her sister Ruby’s letters from the fifties. In 1957 when Edna first began to collect and edit these letters she did so simply because she was sure that others would enjoy reading them as much as her own family did. Over fifty years later, the letters remain a joy to read and reclaim the ordinary voice of a housewife. Remarkably, these letters echo themes academics want to isolate in order to analyze women’s roles in the modern world — drifting (“life just happened to me”) and contingency (“women’s lives depend on relationships”), for example, as well as the balance between family and work. As a fine example of women’s life writing they also illustrate the literary patterns of overt and covert stories and of textual and subtextual meaning. Haven’t Any News: Ruby’s Letters from the Fifties includes an Afterword by Marlene Kadar, Associate Professor of Humanities at York University and a leading expert on women’s life writing. All those concerned with women’s studies and with the social history of twentieth-century Canada will find this book of enormous interest and it will delight Edna Staebler fans everywhere.
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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 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.011 | 0.009 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.009 | 0.007 |
| Insufficient payload (model declined to judge) | 0.455 | 0.365 |
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".