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Record W2612465396

Changing Janes: “The Yellow Wallpaper” as a Case of Dual Consciousness

2017· article· en· W2612465396 on OpenAlexaff
Helen Pinsent

Bibliographic record

VenueVerso: An Undergraduate Journal of Literary Criticism · 2017
Typearticle
Languageen
FieldPsychology
TopicHistorical Psychiatry and Medical Practices
Canadian institutionsDalhousie University
Fundersnot available
KeywordsNeurastheniaPsychoanalysisContext (archaeology)Resistance (ecology)EmancipationFellOppressionHistoryLiteratureSociologyPsychologyArtPsychiatryLawPolitics
DOInot available

Abstract

fetched live from OpenAlex

Charlotte Perkins Gilman originally wrote “The Yellow Wallpaper” (1892) to criticize a medical treatment known as the “rest cure,” which was commonly prescribed for women suffering from “neurasthenia” or a lack of nervous energy. Gilman had personally experienced the “rest cure” as a period of intense suffering, and she was pleased to learn that her story had successfully convinced physicians to alter their treatment methods. As neurologists stopped diagnosing “neurasthenia” in the early twentieth century, however, Gilman’s story gradually fell into obscurity. It was not rediscovered until the early 1970s, when it was recognized as a landmark of feminist literature. It has since been the topic of countless essays that have struggled to explain how the apparent madness of the protagonist can also be interpreted as a form of feminist emancipation. Helen Pinsent’s paper covers much of the same territory, although she does two things that are highly original and innovative: 1) she discusses Gilman’s story not in terms of “neurasthenia” but rather in terms of non-unitary theories of the mind and 2) she shows how this new scientific context potentially resolves the ambiguity of the story’s conclusion by suggesting that “losing one’s mind” and “finding oneself” are not necessarily contradictory possibilities. Pinsent thus implies that Gilman appropriated the scientific concept of “double consciousness” to describe the experience of patriarchal oppression and resistance. —Dr. Anthony Enns

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)0.001
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 score0.562
Threshold uncertainty score0.706

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.032
GPT teacher head0.365
Teacher spread0.333 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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