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Record W1985686044 · doi:10.1068/a37104

Performing Regions: Territorial Development and Cultural Politics in a Europe of the Regions

2006· article· en· W1985686044 on OpenAlexaff
Andrew Donaldson

Bibliographic record

VenueEnvironment and Planning A Economy and Space · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsAgriculture Food and Rural Development
Fundersnot available
KeywordsPoliticsEuropean unionLiteracyPolitical scienceRhetoricIdentity (music)SociologySocial scienceLinguisticsAestheticsLaw

Abstract

fetched live from OpenAlex

In this paper I examine the politics of regional development in the European Union from the perspective of language and identity. The idea that regions are performed through forms of knowledge and political practice is advanced and explored through an engagement with development as a discourse. Within the European Union regional-development discourse is inextricably tied into the cultural political rhetoric of the ‘Europe of the Regions' concept. Local actors can utilise the discourse of development as a political resource. To illustrate this process the concept of cultural literacy is developed and explored through a case study of cultural and political activism related to the European Union Objective 1 programme in Cornwall in the South West of England. Cultural literacy refers to knowledge that aids in the assimilation of further knowledge (about a specific culture) through the creation and comprehension of tailored communications; such knowledge is inherently political and can act as a central constituent of a social identity. The discourse of European regional development itself can also be coopted into new cultural literacies towards specific political goals. In this way regional development discourses can become part of the performance of regions.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.890
Threshold uncertainty score0.307

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.028
GPT teacher head0.229
Teacher spread0.201 · 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

Citations28
Published2006
Admission routes1
Has abstractyes

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