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A working land: crofting communities, place and the politics of the possible in post‐Land Reform Scotland<sup>1</sup>

2006· article· en· W2093513035 on OpenAlexaff
A Fiona, D. W. MacKenzie

Bibliographic record

VenueTransactions of the Institute of British Geographers · 2006
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRural development and sustainability
Canadian institutionsCarleton University
Fundersnot available
KeywordsCommodificationPoliticsMateriality (auditing)Context (archaeology)Land tenureCommon ownershipSociologyWildernessPolitical economyCapital (architecture)ConstitutionPolitical scienceLawEconomyEconomicsAestheticsGeography

Abstract

fetched live from OpenAlex

In the context of the Land Reform (Scotland) Act 2003 , this paper examines the political possibilities that are created when land is removed as a commodity from circuits of global capital and when, in areas under crofting tenure, it comes under collective ownership. Drawing evidence from the case of the North Harris Trust, Isle of Harris, the largest community purchase of land thus far, the paper considers how place is re‐configured in complex and contingent ways through the re‐working of the materiality and meanings of the land and of nature. The latter includes disturbing class‐based and colonizing discourses of ‘wilderness’, on the one hand and, on the other, exploring the ways through which the wind is commodified. The paper argues that this re‐constitution of land and nature does not lead in a simplistic way to a reversal of processes of enclosure (and globalization) but rather, through the co‐performance of land and nature in the new political spaces created by a community trust, the relationship between the ‘local’ and the ‘global’ is altered such that a more sustainable and socially just future may be imagined.

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)0.006
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.182
Threshold uncertainty score0.362

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0220.048
Scholarly communication0.0110.005
Open science0.0010.010
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0060.000

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 head0.008
GPT teacher head0.185
Teacher spread0.177 · 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

Citations48
Published2006
Admission routes1
Has abstractyes

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