The Boundaries of Property: Complexity, Relationality, and Spatiality
Bibliographic record
Abstract
What does the property boundary mean to laypersons? How do everyday geographies of property work? Merrill and Smith offer an influential set of hypotheses concerning the boundary's role in communicating simple messages of exclusion in the everyday world. The first goal of this article is to assess these claims. Drawing from qualitative data on gardening from Vancouver, I suggest that the messages of the boundary may also be complex, intersubjective, and ambiguous. The supposedly robust moral intuitions that inform people's interactions with boundaries are not always exclusionary. Drawing from the sharp distinction between the heterogeneity of the empirical record and the studied simplicity of Merrill and Smith's account, my second goal is to make some broader claims regarding property and the boundary. Rather than seeking universality, simplicity, and singularity, I suggest the necessity and value of working with complexity. A relational view of property and space (or “spatiality”), I suggest, offers us a better perspective in which to begin to think about the complex work of the everyday property boundary.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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".