Pesky Polygamist Women: The Marginalization of Qualitative Data in British Columbia’s Charter Reference on Polygamy
Bibliographic record
Abstract
Abstract This paper explores the thorny mingling of law with qualitative social science methodologies through the lens of the 2010–11 Supreme Court of British Columbia Charter Reference on polygamy, which was conducted to determine whether the criminalization of polygamy was consistent with theCanadian Charter of Rights and Freedoms.The Reference reveals how the marginalization of qualitative research(ers) effectively controlled whose voices were to be heard and whose were to be silenced in the broader project of sovereign intervention into family formation. With specific focus on Professor Angela Campbell, who provided expert opinion testimony in the Reference, this paper reflects on two important questions: when social science is invoked in legal settings, whose knowledge is legitimized, and who benefits from this legitimization? Drawing upon the longstanding feminist project of deconstructing assumptions of value-neutrality in all science, this paper considers how qualitative, feminist research(ers) may be inherently at odds with law’s quest for (rational) “truth.”
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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 | 0.077 | 0.106 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.008 |
| Science and technology studies | 0.038 | 0.058 |
| Scholarly communication | 0.017 | 0.006 |
| Open science | 0.004 | 0.016 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".