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Record W2244428322

Rural Communities and Landscape Change: A Case Study of Wild Ennerdale

2008· article· en· W2244428322 on OpenAlexvenueno aff
Ian Convery, Thomas Dutson

Bibliographic record

VenueJournal of rural and community development · 2008
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRural development and sustainability
Canadian institutionsnot available
Fundersnot available
KeywordsAlienationCommissionArgument (complex analysis)GeographyNational parkLocal communityPolitical scienceEnvironmental planningEnvironmental resource managementEconomic growthSociologyArchaeology
DOInot available

Abstract

fetched live from OpenAlex

Ennerdale Valley is located in the Lake District National Park of northwest England. The valley has been managed as coniferous plantation forest since the 1920s by the Forestry Commission (FC). Since 2002, however, the FC has been a partner (along with the National Trust and United Utilities) in the Wild Ennerdale (WE) rewilding initiative, which alongside a more a naturally evolving landscape, also aims to provide socio-economic benefits for the local community. This paper considers the relationship between WE and the cultural landscape of Ennerdale Valley and has identified disparities between the WE view of engagement and participation and corresponding feelings of alienation, dispossession, and dislocation expressed by some members of the local community. The paper presents an argument for stronger links between WE and the Ennerdale community. In particular, there needs to be much greater appreciation of the role the rural community has played, and continue to play, in shaping the landscape of Ennerdale. Recognition of this role is important in terms of delivering a sustainable future both for the valley and for WE.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.294
Threshold uncertainty score0.856

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.047
GPT teacher head0.241
Teacher spread0.194 · 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 teacher head, 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

Citations7
Published2008
Admission routes1
Has abstractyes

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