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Record W2256709369

Reclaiming the 'Public' Lands: Community Conflict and Rural Gentrification

2014· article· en· W2256709369 on OpenAlexvenueno aff
Darren Smith

Bibliographic record

VenueJournal of rural and community development · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRural development and sustainability
Canadian institutionsnot available
Fundersnot available
KeywordsNIMBYLocal governmentGentrificationResistance (ecology)Rural housingSubdivisionRedevelopmentEconomic growthGovernment (linguistics)PremiseCapital (architecture)Local communityRural areaBusinessPublic administrationPolitical scienceEconomicsGeographyLaw
DOInot available

Abstract

fetched live from OpenAlex

The current aspirations of the British coalition government to sell-off publicly-owned land and building assets to facilitate new housing development, raise capital, and engage local communities is an emotive issue. Why 'public' assets are relinquished, and how land and buildings are redeveloped by private sector organisations can stimulate conflicts/resistance within local communities. Using the case study of Hebden Bridge, West Yorkshire, this paper explores how a local community group opposed the proposed development of a local authority-owned 'car park' on the premise that it was 'out of place' in the rural small town, and more congruous with a large urban setting. As the disposal of public land and buildings is more widely taken-up, it is possible that similar NIMBY protests may become more pronounced and spatially diffused in the UK as the make-up of local places is transformed. Keywords: rural change, rural housing, NIMBY, rural gentrifiers, resistance

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)0.003
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0150.032
Scholarly communication0.0060.002
Open science0.0010.009
Research integrity0.0030.002
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 head0.035
GPT teacher head0.234
Teacher spread0.199 · 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 designObservational
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

Citations5
Published2014
Admission routes1
Has abstractyes

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