Towards a Law of Inclusive Planning: A Response To “Fair Housing for a Non-Sexist City”
Bibliographic record
Abstract
Noah Kazis’s important article, Fair Housing for a Non-sexist City, shows how law shapes the contours of neighborhoods and embeds forms of inequality, and how fair housing law can provide a remedy. Kazis surfaces two dimensions of housing that generate inequality and that are sometimes invisible. Kazis highlights the role of planning and design rules – the seemingly identity-neutral zoning, code enforcement, and land-use decisions that act as a form of law. Kazis also reveals how gendered norms underlie those rules and policies. These aspects of Kazis’s project link to commentary on the often invisible, gendered norms that shape the design of ordinary objects, public space, data, and automated algorithms.\nAs to housing specifically, Kazis’s emphasis on gender is noteworthy; most examinations of exclusion in housing and land use concern race and class. Kazis takes up the invitation of Professor Dolores Hayden, a prominent urban historian, to imagine how we might redesign urban spaces and rethink the connection between the city and suburb. Kazis’s focus on “sex” means not just women as a broad category, but women who own businesses, participate in the wage economy, and need childcare zoned in their neighborhoods, as well as men who are low-income and need single-room occupancy (SRO) and other housing arrangements to make housing affordable.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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".