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The boundaries of property: lessons from Beatrix Potter

2004· article· en· W2082195937 on OpenAlexaffvenueabout
Nicholas Blomley

Bibliographic record

VenueCanadian Geographies / Géographies canadiennes · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicLaw in Society and Culture
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsProperty (philosophy)IndividualismScholarshipPoliticsSociologyBoundary (topology)EpistemologyAestheticsLawPolitical sciencePhilosophyMathematics

Abstract

fetched live from OpenAlex

Beatrix Potter's classic children's book, The Tale of Peter Rabbit , offers an example of a well‐entrenched view of property and its geographies. Drawing on this, and current scholarship on law and geography, I explore the ways in which the spatial boundaries of property are formally conceived. I then compare this model with the findings of a qualitative research project on people's everyday practices and understandings of their garden boundaries in inner city Vancouver. While this provides partial support for the formal model, I find more pervasive evidence for a very different view of the boundaries of property. While the dominant account assumes a determinate, individualistic and ordered view of the boundary, my findings suggest a more relational, porous and ambiguous alternative. The gap, however, proves instructive. In conclusion, therefore, I return to law and geography to reflect on the importance of thinking through the ways legal forms, such as property, are materially and spatially enacted within particular places. Finally, the study alerts us to the multivalent political possibilities of property. While property can, indeed, be individualistic and reified, it also contains more collective and fluid meanings.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.785
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0070.012
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.011
GPT teacher head0.226
Teacher spread0.215 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations52
Published2004
Admission routes3
Has abstractyes

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