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Sense making of Brexit for Economic Citizenship In Northern Ireland

2019· article· en· W7126414132 on OpenAlexaff

Bibliographic record

VenueResearch Portal (Queen's University Belfast) · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicIrish and British Studies
Canadian institutionsQueen's University
Fundersnot available
KeywordsBrexitCitizenshipIrishNorthern irelandEuropean unionSingle marketContext (archaeology)NegotiationPosition (finance)

Abstract

fetched live from OpenAlex

Northern Ireland appears to be the keystone for building a sustainable outcome for Brexit for the whole of the United Kingdom and its future relationship with the other Member States of the European Union, especially the Republic of Ireland. The complex constitutional, political, socio-economic, geographical and cultural position of Northern Ireland means that resolving the current negotiating difficulties rests on a wider set of considerations. These include the scale and scope of cross-border corporation with the rest of Ireland so that there is effectively an all – Ireland single market to which the Single European Market and Customs Union is presently essential. In this context, there is a significant challenge for economic citizenship in Northern Ireland and its governance arrangements. This paper sets to analyse the challenges to economic citizenship in Northern Ireland by examining the case of the key Agrifood sector for whom cross-border transactions and co-operation are crucial. It does so in the general context of how the economics profession contributed to the weakness of its expertise in investigating the impact of Brexit.

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)0.011
metaresearch head score (Gemma)0.010
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 score0.050
Threshold uncertainty score0.110

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0100.036
Scholarly communication0.0150.007
Open science0.0010.014
Research integrity0.0020.003
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 head0.030
GPT teacher head0.311
Teacher spread0.281 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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