MétaCan
Menu
Back to cohort
Record W4205494179 · doi:10.1177/02637758211068505

What is planning without property? Relational practices of being and belonging

2022· article· en· W4205494179 on OpenAlexaffabout
Heather Dorries

Bibliographic record

VenueEnvironment and Planning D Society and Space · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicAnthropological Studies and Insights
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsConceptualizationProperty (philosophy)FlourishingIndigenousColonialismSociologyDemocracyEnvironmental ethicsPrivate propertyPolitical scienceEpistemologyLawPoliticsPsychologySocial psychologyEcologyComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

What is planning without property? This question was recently posed to me following a conference presentation. In this paper, I argue that taking this question seriously reveals unchallenged assumptions about the relationship between planning and property. Focusing on Canada as a settler colonial liberal democracy, I respond to this question by looking at the Indian Act which has supported colonial dispossession and assimilation in Canada for almost 200 years and rely on Brenna Bhandar’s conceptualization of “racial regimes of property” as a means of examining how racial subjects and private property are co-produced. I then look to the practices reflected in the creation of Nadia Myre's artwork Indian Act to show how Indigenous epistemologies can aid in the conceptualization of planning without property. I argue that planning without property would be an approach to planning that would be focused on identifying, making, and strengthening the human and more-than-human relationships the flourishing of life requires. Thus, planning without property would support practices of being and belonging rather than practices of exclusion and domination.

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)0.004
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.099
Threshold uncertainty score0.197

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0110.095
Scholarly communication0.0090.010
Open science0.0010.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.041
GPT teacher head0.298
Teacher spread0.258 · 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 designQualitative
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

Citations51
Published2022
Admission routes2
Has abstractyes

Explore more

Same venueEnvironment and Planning D Society and SpaceSame topicAnthropological Studies and InsightsFrench-language works237,207