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Record W2521002508

“Nina Fits Patrick”: Transnational Alliances and the Collaborative Textual Body of "The Loves of Faustyna"

2015· article· en· W2521002508 on OpenAlexaff
Max Karpinski

Bibliographic record

VenueAnglica Wratislaviensia · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicIrish and British Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsDialogicThe ImaginaryIrishSociologyGender studiesMedia studiesHistoryLiteratureArtPsychoanalysisPsychologyLinguistics
DOInot available

Abstract

fetched live from OpenAlex

This essay reads The Loves of Faustyna 1995 by Nina FitzPatrick, a pseudonym for the collaborative writing of Nina Witoszek, a writer and scholar of Polish origin currently living in Norway, and her late partner Patrick Sheeran, an Irish academic. Focusing on the experiences of a female half-Jewish activist and member of Solidarnośc, FitzPatrick’s postmodern, hybrid text irreverently confronts the implicit violence of Catholic and patriarchal independence movements. Beginning with an analysis of the method of the text’s production as a collaborative writerly act attributed to a single, authorial signature, this essay argues that The Loves of Faustyna offers a dialogic mode of anticolonial resistance predicated on sharing, relating, and fusing the personal stories of differently colonized Polish and Irish bodies. Both Poland and Ireland have experienced centuries-long occupations by foreign invaders, a historical burden that has affected each country’s respective cultural imaginary and created a sense of national identity under siege. Applying a postcolonial framework to the history of Poland in The Loves of Faustyna allows FitzPatrick to construct a potential site of new transnational alliances between multiple writerly and readerly subjects.

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.408
Threshold uncertainty score0.704

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
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 head0.015
GPT teacher head0.281
Teacher spread0.266 · 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 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".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

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