MétaCan
Menu
Back to cohort
Record W7025323328

Volumetric Subdivision and the Architectures of Property

2025· article· en· W7025323328 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicProperty Rights and Legal Doctrine
Canadian institutionsnot available
Fundersnot available
KeywordsEasementProperty (philosophy)Real propertyProperty lawStatutory lawSpace (punctuation)SubdivisionProperty rightsArchitecture
DOInot available

Abstract

fetched live from OpenAlex

Henry Smith’s influential architectural or modular theory of property places things, defined by the right to exclude, at its core. Property as “The Law of Things” relies on an exclusionary strategy, augmented with governance strategies that delineate particular rights of use, to define owned things and to enable their uses. This Article considers that claim and Smith’s call for multi-dimensional theorizing that accounts for property in “the real world” and “in real life” through an analysis of the increasingly common practice of volumetric subdivision to produce three-dimensional property. Focussing on the statutory frameworks in the Canadian province of British Columbia, this Article describes the practice of subdividing land into air space parcels and then into condominium lots. The three-dimensional properties that emerge are embedded within condominium and, further, within air space parcel agreements that use easements and covenants to define legal relationships, including rights of access and support, obligations for repair, and provisions for cost-sharing and dispute resolution. This Article argues that the air space parcel and condominium frameworks are becoming the applied architecture of property and that Smith’s modular theory, with its emphasis on the things of property and the right to exclude, does not provide a satisfactory account of the property that they produce. However, in dealing with the emerging and, in some instances, almost unintelligible complexity, the Article turns back to the work of Smith and others in concluding that interests which are produced and represented as property should be placed within structures that conform with principles that animate the law of property.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.023
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.028
Scholarly communication0.0070.006
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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.

Opus teacher head0.011
GPT teacher head0.282
Teacher spread0.272 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

Explore more

Same topicProperty Rights and Legal DoctrineFrench-language works237,207