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THE IDENTITY CRISIS OF RETA WINTERS: GENDER AND ETHNICITY IN CAROL SHIELD’S UNLESS

2023· article· en· W4389299636 on OpenAlexaboutno aff
Zehra AYDIN KOÇAK

Bibliographic record

VenueAnkara Üniversitesi Dil ve Tarih-Coğrafya Fakültesi Dergisi · 2023
Typearticle
Languageen
FieldPsychology
TopicMemory, Trauma, and Commemoration
Canadian institutionsnot available
Fundersnot available
KeywordsIdentity crisisMulticulturalismIdentity (music)HistoryGender studiesSociologyPsychoanalysisAestheticsFace (sociological concept)Social scienceArtPsychology

Abstract

fetched live from OpenAlex

Carol Shield’s novel Unless (2002) mainly revolves around Reta Winter’s identity crisis in comparison to her past and present self. As an activist in her youth and a current writer, Reta’s world turns upside down after the news that one of her daughters, Norah, unexpectedly decides to live in the street. This incident reminds Reta how much she is estranged from her past self in the journey of self-discovery and how it leads her into an identity crisis. In this research paper, it will be discussed how Reta’s life changes after her daughter Norah’s choice, how Alicia, one of the protagonists in Reta’s novel, changes her life choices dramatically, and how Canada’s multiculturalism policy is presented in life. The interconnectedness among Norah’s choice of living in the street by sitting behind a cardboard sign “goodness” (after experiencing a traumatic incident), the references related to Norah’s clothes and where she chooses to sit, and the relationship between Norah’s traumatic event and Canada’s multiculturalism policy will lead Reta to revisit her past self that she has forgotten for a very long time and will guide her to remember her old self as the other. Reta’s personal trauma and Canada’s cultural trauma will be analyzed in the scope of literary trauma theories by the contribution of the pioneers in this field, particularly Cathy Caruth.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.516
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.049
GPT teacher head0.313
Teacher spread0.264 · 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.

Study designObservational
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
Published2023
Admission routes1
Has abstractyes

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