A Much-Fathered Nation: Feminist Biography and Confederation Politics
Bibliographic record
Abstract
Although many Confederation biographies were written before the gender turn, even recent studies often neglect gender as a category of analysis. This neglect implies that thinking about gender would, at best, add to the story of Confederation but could not change it. It also leaves men's experience of gender unexamined, perpetuating the idea that men's monopoly over politics in this era was simply a fact – perhaps regrettable, but indisputable, and therefore unworthy of study. This article considers how dividing political (men's) history and gender (women's) history into separate domains has affected how biographers have written about Confederation. It also proposes that critical feminist biography can help historians re-entangle politics and gender and, thereby, re-evaluate what was at stake in the Confederation negotiations and on what bases support for this ongoing political project was won, lost, regained, and reconfigured.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 teacher head, 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".