The Place of Private Property in Land Use Law: A Relational Examination of Ontario's Quarry Conflicts
Bibliographic record
Abstract
Land use law structures the way we make decisions about how we live together and with the world around us. In doing so, it shapes our relationships not only with the people around us, but with the places we inhabit and encounter. This dissertation examines how land use law structures the relations between people and the more-than-human world to uphold the ownership model of property relations and to privilege particular forms of land use. Through documentary and interview-based qualitative research, it presents an eco-relational examination of one of the most contentious land uses in Ontario aggregate mineral extraction. The primacy of private ownership in land use decision-making has particular spatial, temporal, social and ecological consequences for the places and communities involved in land use conflicts. As certain forms of land use are privileged through law and legal process, other relations with place fall outside the boundaries of the ownership model of property relations and are deemed less legally significant. Nevertheless, land use conflicts continue to arise because people routinely assert forms of interest in land and resources they do not own. These more-than-ownership relations challenge the presumptive detachment of people from the places they live in, work with, and love. By examining how such relations are imagined, articulated and asserted through a place-based relational framework, this dissertation demonstrates their potential to disrupt the power of private ownership to determine whether and how land should be used. Realizing environmentally just land use decision-making requires a transformative shift in legal property relations to de-centre private ownership and foreground a much broader range of people-place relations. This includes reconceptualizing ownership to incorporate notions of reciprocity and responsibility to the broader set of ecological, physical and material networks of relation that make up a particular place. By changing the way we think about ownership we can change the way we make decisions about land use. In doing so, we have the opportunity to reshape our relations with the places we inhabit, and with each other.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.030 | 0.028 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".