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Record W3122204444 · doi:10.1111/tran.12058

The ties that blind: making fee simple in the British Columbia treaty process

2014· article· en· W3122204444 on OpenAlexaffabout
Nicholas Blomley

Bibliographic record

VenueTransactions of the Institute of British Geographers · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicGeographies of human-animal interactions
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsTreatyFraming (construction)PoliticsLawIndigenousProperty (philosophy)Law and economicsPerformative utteranceBattleEntitlement (fair division)SociologyPolitical scienceColonialismHistoryEconomicsAestheticsArchaeologyEpistemology

Abstract

fetched live from OpenAlex

Property is a crucial means by which space is made, and remade. This is powerfully evident in settler societies, such as British Columbia, Canada. To understand the work that property does requires us to attend to the manner in which it is entangled in and constitutive of a multitude of relations (ethical, practical, historical, semantic and so on). Yet for property to function, some of these relationships must be bracketed. That which is designated as inside a boundary must be partly disentangled from that identified as outside. Property practice and theory helps organise these exclusions. Yet this is not disinterested: Property's frames, therefore, can become political battle lines. Drawing from a modern‐day treaty process involving indigenous communities and the federal and provincial governments in British Columbia, Canada, I trace the ways in which the state has sought to disentangle property from its recently re‐emergent colonial entanglements. One of the ways in which it has tried to do this is to insist that First Nations hold their treaty settlement lands as a form of fee simple, this being bracketed as a clear and certain entitlement, replacing a messier ‘Aboriginal title’. First Nations negotiators, however, have pushed back, re‐entangling fee simple in culture, politics and place. I explore the performative use of categorisation on the part of the Crown in their attempt at re‐framing fee simple as ‘simple’. Apart from documenting this understudied postcolonial moment, I also encourage geographers to recognise the important work that property does in making space. To do so, I theorise property as an effect, performed through multiple technical and categorical enactments.

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)0.006
metaresearch head score (Gemma)0.014
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 score0.131
Threshold uncertainty score0.949

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0470.031
Scholarly communication0.0180.005
Open science0.0020.009
Research integrity0.0060.007
Insufficient payload (model declined to judge)0.0100.001

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 head0.021
GPT teacher head0.289
Teacher spread0.268 · 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

Citations79
Published2014
Admission routes2
Has abstractyes

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