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Record W2888397684 · doi:10.7765/9781526123626.00009

Ireland, sport and empire

2017· book-chapter· en· W2888397684 on OpenAlexaboutno aff
Alan Bairner

Bibliographic record

VenueManchester University Press eBooks · 2017
Typebook-chapter
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsEmpireHegemonyAlienIrishIndigenousBritish EmpireInheritance (genetic algorithm)State (computer science)HistoryQuarter (Canadian coin)The RepublicGenealogyAncient historyPolitical scienceLawPoliticsCitizenshipArchaeologyPhilosophy

Abstract

fetched live from OpenAlex

Generation after generation of imperial administrators took British sports to every far-flung outpost of the Empire. First to amuse themselves and to help cement relationships with indigenous elites. Second to introduce entire native populations to the idea that the British way of life was superior and demanded their respect. The threat of British sporting hegemony in Ireland was, by the last quarter of the nineteenth century, very real. In the Republic of Ireland, the early years of the Irish Free State, its role became that of a bulwark for the newly independent Ireland. In Ireland, there existed a relatively organised native sporting tradition which pre-dated the emergence of modern sport and of the British Empire. The adoption of British sports would be regarded by Ulster Protestants as part of their rightful inheritance rather than as the result of an imperialist imposition of an alien culture.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.036
Threshold uncertainty score0.084

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.007
Scholarly communication0.0070.003
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0160.003

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 head0.052
GPT teacher head0.259
Teacher spread0.207 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations2
Published2017
Admission routes1
Has abstractyes

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