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Record W119041859 · doi:10.1017/ccol0521861918.014

The novel and the Northern Troubles

2006· book-chapter· en· W119041859 on OpenAlexaff
Elmer Kennedy-Andrews

Bibliographic record

VenueCambridge University Press eBooks · 2006
Typebook-chapter
Languageen
FieldSocial Sciences
TopicIrish and British Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsIrishNationalityTheme (computing)PoliticsRomanceNationalismProtestantismMoralityHistoryNorthern irelandGender studiesSociologyLiteratureArtPolitical scienceLawEthnologyPhilosophyImmigrationArchaeology

Abstract

fetched live from OpenAlex

The political novel before 1969 For the Irish novelist, the usual concerns of the English novel - personal morality and relationships - have tended to be subordinated to the more pressing issues of race, religion and nationality. The early Irish novelists, Maria Edgeworth and Sydney Owenson (Lady Morgan), attempted a reconciliation between Ireland's two nations, Edgeworth through social reform and political unionism, Owenson through Ascendancy commitment to a romantic nationalist movement which, in literature, would culminate in the work of W. B. Yeats. The big house theme inaugurated by Edgeworth and Owenson (see chapter 3 above) has continued to fascinate novelists to the present day, as Jennifer Johnston's The Captains and the Kings (1972), The Gates (1973), How Many Miles to Babylon? (1974) and The Old Jest (1979) would indicate. These novels, written at the height of the Northern Troubles, offer an oblique perspective on the conflict, and the setting of the novels in the past, in the south, suggests flight from the intractable reality of contemporary Northern Protestant unionism/loyalism in 1970s Ulster.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.022
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.012
Scholarly communication0.0070.003
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0150.003

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 head0.017
GPT teacher head0.204
Teacher spread0.186 · 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

Citations7
Published2006
Admission routes1
Has abstractyes

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