Bars, Breasts, Babies: Justice L'Heureux-Dube and the Boundaries of Belonging
Bibliographic record
Abstract
This piece, written in honor of retired Candian Supreme Court Justice Claire L'Heureux-Dube, explores relationships between liquor licensing regulations, critical geography, and social construction of space and corporeality. Using the pub and the body of nursing I consider liquor licensing regimes which are explicitly aimed at protection of children, allowing children into licensed restaurants, but excluding them from licensed pubs. The effects of such regimes, while multiple, result in construction of a very specific (and exclusionary) kind of socio-legal space. While gendered dimensions of this space are generally seen as of little consequence, I suggest that they do raise important questions about meaning of equality, citizenship, and human rights. Inattention to political character of social spaces (including public house) can perpetuate segregation in our society, even in absence of any animus. Law and social theory might well look different were body at centre of its theorizing to be less the firmly boundaried able-bodied autonomous rights holder than the leaky woman. If we use body of breastfeeding mother (and nursing child) to think about complicated forms of exclusion from certain social spaces, a different horizon stretches before us, one which raises new ways of thinking about exclusion in general. It is useful to consider what it might mean for our discussions of equality, citizenship and human rights to take seriously embodiment of breastfeeding mother, and her location in physical space.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.025 | 0.027 |
| Scholarly communication | 0.015 | 0.006 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.016 | 0.023 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".