Bibliographic record
Abstract
This Elusive Land introduces readers to women's perceptions and experiences of the Canadian natural environment. This multidisciplinary anthology discusses the ways in which women integrate the social and biophysical settings of their lives, featuring a range of contexts and issues in which gender mediates, inspires, and informs a sense of belonging to and in this land. In particular, the historical association of women with "domestic" nature is challenged by the investigation of women's lives in a broad range of environments. The collection begins with an introduction to literatures on women and the environment, and to Canada within ecological feminist conversations. The first section discusses the invisibility of women in traditional accounts of Canada's exploration and settlement, pointing to the literary, historical, and geographic significance of women's experiences in a variety of landscapes. Section two develops the ways in which the natural environment is a source of social and economic livelihood, with particular emphasis on fishery, forestry, agriculture, and parks. The third section explores environmental politics through a feminist perspective. The book concludes with a discussion of new directions for a culturally and ecologically diverse Canadian environment. This book contributes to women's studies through its environmental focus; informs environmental studies with a range of feminist perspectives; and complements Canadian studies by integrating disciplinary perspectives of the Canadian experience from the humanities and social sciences.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.017 | 0.014 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.041 | 0.004 |
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".