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Identity Crisis in Northern Ireland: Evidence from Sheridan’s Some Mother’s Son and George’s The Boxer

2013· article· en· W1893748119 on OpenAlexvenueno aff
Hussein H. Zeidanin, Abdullah K. Shehabat

Bibliographic record

VenueCanadian social science · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicIrish and British Studies
Canadian institutionsnot available
Fundersnot available
KeywordsNationalismMulticulturalismIdeologyIrishNorthern irelandIdentity (music)ChauvinismHomelandGeorge (robot)Irish nationalismGender studiesRacismSociologyEthnologyLawPolitical scienceHistoryPoliticsAestheticsPhilosophyArt history

Abstract

fetched live from OpenAlex

Our paper entitled “ Identity Crisis in Northern Ireland” reflects upon the changes emerged on the identity of the Irish people in Northern Ireland in the aftermath of the guerrilla warfare which the nationalists waged against unionists and the British subjects in Belfast for several decades in the twentieth century. According to Sheridan’s and George’s films, the ethnocultural conflict in Northern Ireland unveiled the patriarchal, racist and homogeneous paradigms of such nationalist organizations as the IRA whose overdependence on violence in its resistance to the British revitalizes the Machiavellian principle of “ends justifying means” and nurtures racism and cultural bigotry. Sheridan and George, we conclude, advocate the culturally tolerant and diverse ideology of multiculturalism to counteract the essential homogeny and chauvinism of nationalism as practiced by the IRA. Key words: Nationalism; Multiculturalism; Hybridity; Northern Ireland

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)0.008
metaresearch head score (Gemma)0.017
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 score0.522
Threshold uncertainty score0.961

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.017
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0140.013
Scholarly communication0.0070.005
Open science0.0030.010
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0050.001

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 head0.017
GPT teacher head0.272
Teacher spread0.255 · 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".

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Citations0
Published2013
Admission routes1
Has abstractyes

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