Book Review of Blackmore, Mary Jayne. (2020). Balancing Bountiful: What I Learned about Feminism from my Polygamist Grandmothers. Halfmoon Bay: Caitlin Press.
Bibliographic record
Abstract
Mary Jayne Blackmore's memoir, "Balancing Bountiful," sheds light on the author's empowering journey and evolution from a once sheltered child to a curious feminist seeking liberation within the polygamist community of Bountiful, British Columbia.Blackmore, the fifth child of "[her] father's 150 children," provides a reflective account of her experiences growing up within a fundamentalist Mormon community and alludes to how experiences with religion, education, and the media prompt her to ponder what the right type of woman, family, and community are (p.9).Though she had an idyllic childhood centred on togetherness, Blackmore recounts struggling to find her place as a woman within the narrow Mormon narrative, ultimately causing her to leave the church and community.Blackmore's memoir offers insight into the strict inner workings of her polygamist community and challenges the harmful stereotypes about her family that the media perpetuates.Blackmore describes growing up during the "glory days of Bountiful," where children "worked hard and played harder" (p.9).While Blackmore spent a fair share of her childhood gallivanting around the Skimmerhorn mountains and getting dirty in the mud, the anticipation of
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.068 | 0.033 |
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".