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Record W3148852473 · doi:10.32803/rise.v3i1.2227

Irish Women Evicted: The Rural Home and the Gendered Politics of Economic Morality in Claire Keegan’s Walk the Blue Fields

2019· article· en· W3148852473 on OpenAlexaff
Laura Sydora

Bibliographic record

VenueReview of Irish Studies in Europe · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicIrish and British Studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsFemininityGender studiesIrishPoliticsSociologyHome ruleCeltic TigerIdentity (music)Political scienceAestheticsLawArt

Abstract

fetched live from OpenAlex

At first glance Claire Keegan’s collection of short stories Walk the Blue Fields, published during the tail end of the Celtic Tiger, seems out of place. While her contemporaries situate their counter-narratives of wealth disparity, gender identity crisis, and familial demise within urban high-rises, impoverished slums, and brooding cityscapes, Keegan’s priests, farmers, and housewives inhabit a seemingly timeless rural Ireland filled with sprawling farmlands, Protestant estates, and ancient cliffs. However, Keegan destabilises and re-appropriates traditional Ireland, making the rural a resource for challenging the gendered hierarchy of spatial, and by extension, economic relations in contemporary Ireland through the image of the home. In both ‘The Parting Gift’ and ‘Night of the Quicken Trees’, not only does Keegan position women in precarious relationships to land, property, and the rural home to identify the unequal social impact of economic morality for women, but also to illuminate the ways in which the continuing dependence on traditional precepts of gender and national belonging are employed to regulate what the prevailing power structures of the state conceive as a threatening femininity in contemporary Ireland. Underneath the rhetoric of hostile femininity, Keegan reveals the regressive and unequal gendered moral logic present within a neoliberal ‘new’ 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 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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.281
Threshold uncertainty score0.755

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
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 head0.033
GPT teacher head0.338
Teacher spread0.306 · 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 designNot applicable
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

Citations1
Published2019
Admission routes1
Has abstractyes

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