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Record W3171668953

Chapter 2 - Nation: Reconciliation and the Politics of Friendship in Post-Troubles Literature

2020· article· en· W3171668953 on OpenAlexfundno aff
Stefanie Lehner

Bibliographic record

VenueResearch Portal (Queen's University Belfast) · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicSouth Asian Studies and Diaspora
Canadian institutionsnot available
FundersQueen's UniversityQueen's University Belfast
KeywordsFriendshipPoliticsPolitical scienceSociologySocial psychologyPsychologyLaw
DOInot available

Abstract

fetched live from OpenAlex

This chapter suggests that a discernible trend in post-Troubles Northern Irish fiction and drama is to revisit and revise the “love across the barricades” plot and, in this way, to (re)imagine new forms of political community beyond the communitarian divide. It argues that friendship may offer an alternative model for a political reconciliation than suggested by the peace process and outlined by the 1998 Agreement. Drawing on Andrew Schaap and Hannah Arendt, I propose a distinction between a filiative and an affiliative politics of reconciliation: between one that is predicated on the ideal of a stable community with a common identity and one that foregrounds the establishment of new forms of relationships, presupposing the irreducible plurality of viewpoints as a basis for dialogue about the common world. Focusing on Robert McLiam Wilson’s Eureka Street (1996), Glenn Patterson’s The Rest Just Follows (2014) and Mary O’Donnell’s Where They Lie (2014), this chapter suggests that all three novels consider friendship as a political principle that can give rise to an affiliative reconciliation in invoking a not-yet community beyond ethnonational lines.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.920
Threshold uncertainty score0.473

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
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 head0.043
GPT teacher head0.250
Teacher spread0.208 · 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 designTheoretical or conceptual
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
Published2020
Admission routes1
Has abstractyes

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