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Record W2106525760 · doi:10.1017/s0956793306001993

Making Private Property: Enclosure, Common Right and the Work of Hedges

2007· article· en· W2106525760 on OpenAlexaff
Nicholas Blomley

Bibliographic record

VenueRural History · 2007
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHistorical Economic and Social Studies
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsHedgeProperty (philosophy)Law and economicsMateriality (auditing)AssertionEstatePrivate propertyReal estateCommonsLawPolitical scienceSociologyAestheticsPhilosophyEpistemology

Abstract

fetched live from OpenAlex

Analyses of enclosure in late sixteenth and early seventeenth century England have tended to focus on the social work of representations, in particular estate maps. I depart from this emphasis, however, in my attempt to focus on the consequential and often contradictory role of material objects in producing enclosure. In particular, I emphasise the important work that hedges did, physically, symbolically and legally, in the dispossession of the commoner. Acting as an organic barbed wire, the hedge was increasingly put to work to protect the lands of the powerful. Disrupting the propertied spaces of the commoning economy, hedges were not surprisingly targeted by those who opposed privatisation. The hedge, as both a sign and material barrier, served complicated and sometimes opposing ends. It materialised private property's right to exclude, but thus came into conflict with common property's right not to be excluded. The hedge was both an edge to property and was itself property. Both the encloser and the commoner, however, had property interests in the hedge. If broken, the hedge could signal violence and riot, or the legitimate assertion of common right. The hedge served as an often formidable material barrier, yet this very materiality made it vulnerable to ‘breaking’ and ‘leveling’.

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)0.002
metaresearch head score (Gemma)0.004
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: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.029
Scholarly communication0.0050.007
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.043
GPT teacher head0.216
Teacher spread0.173 · 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

Citations198
Published2007
Admission routes1
Has abstractyes

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