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Record W2605012779 · doi:10.1080/08865655.2017.1294493

Cross-Border Issues in Ireland: Lessons for the Anglo-Scottish Border

2017· article· en· W2605012779 on OpenAlexvenueno aff
Ruth Taillon

Bibliographic record

VenueJournal of Borderlands Studies · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicIrish and British Studies
Canadian institutionsnot available
FundersEconomic and Social Research Council
KeywordsCross-border cooperationJurisdictionGeneral partnershipIrishPoliticsPolitical sciencePoolingBrexitEuropean unionPolitical economyInternational tradeSociologyLawRegional scienceEconomics

Abstract

fetched live from OpenAlex

Many of the core socio-economic, cultural and political issues which have for long, and continue to, afflict the Irish border region, whether directly attributable to or intensified by the conflict, or those that reflect economic imbalances due to geographical factors, do not respect jurisdictional boundaries. Indeed, the varied obstacles associated with the border or issues which are innately cross-border in nature, cannot be effectively addressed by either jurisdiction in isolation from the other. However, while cooperative action on a cross-border basis, based upon partnership towards the mutual exchange of experiences and the pooling of resources, offers potential for the effective achievement of shared objectives, there are also a number of challenges facing cross-border collaboration. This article endeavors to examine the different forms of cross-border co-operation across the Irish border, while evaluating the successes and failures of the approach institutionalized by the 1998 Good Friday/Belfast Agreement. In particular, and reflecting on Anglo-Scottish experiences, it will argue for the importance of systemic capacity-building for the efficacy of cross-border cooperation. The article concludes by emphasizing the increasingly complex nature of cross-border cooperation across the United Kingdom and Ireland, particularly in the light of the impending withdrawal of the UK from membership of the European Union.

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)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.488
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0040.001
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.045
GPT teacher head0.467
Teacher spread0.423 · 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.

Study designNot applicable
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

Citations3
Published2017
Admission routes1
Has abstractyes

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