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Record W2095181433 · doi:10.1177/1012690210380584

Transcending the borders of Irish identity? Narratives of northern nationalist footballers in Northern Ireland

2010· article· en· W2095181433 on OpenAlexaff
Darragh McGee, Alan Bairner

Bibliographic record

VenueInternational Review for the Sociology of Sport · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsNationalismIrishPoliticsGender studiesIdentity (music)SociologyFootballHabitusNorthern irelandNarrativeAllegianceNational identitySocial sciencePolitical scienceEthnologyLawAestheticsCultural capital

Abstract

fetched live from OpenAlex

In light of a growing trend by which Northern Irish-born footballers opt to pledge their sporting allegiance to the Republic of Ireland, the issue of player eligibility has become the subject of much public and political debate across the island of Ireland. In seeking to shed light on this controversial topic, this article examines the myriad factors which are negotiated by northern nationalist footballers when faced with the choice of which ‘nation’ to which they belong. Based on extracts from a series of interviews with northern nationalist players, the study situates their lived experiences within the broader socio-political landscape of Northern Ireland, highlighting a range of factors from the perceived culpability of the Irish Football Association (IFA) to sporting pragmatism on the part of the players. The research is theoretically grounded in the writings of Norbert Elias and Pierre Bourdieu, in particular by utilizing their respective interpretations of the socio-psychological concept of habitus in an attempt to understand the interplay between the relatively superficial and potentially temporary nature of sporting identity and a more deeply ingrained sense of national or political identification.

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)0.000
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 score0.344
Threshold uncertainty score0.978

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
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 head0.036
GPT teacher head0.393
Teacher spread0.357 · 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

Citations20
Published2010
Admission routes1
Has abstractyes

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