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Record W2165539977 · doi:10.1177/01939450022044593

A Feminist Critique of Breast Cancer Research among Korean Women

2000· review· en· W2165539977 on OpenAlexaff
Eun‐Ok Im, Mary Ann Hautman, Barbara Keddy

Bibliographic record

VenueWestern Journal of Nursing Research · 2000
Typereview
Languageen
FieldMedicine
TopicComplementary and Alternative Medicine Studies
Canadian institutionsDalhousie University
Fundersnot available
KeywordsBreast cancerGender studiesMedicineObstetricsCancerSociologyInternal medicine

Abstract

fetched live from OpenAlex

Studies indicate ethnic differences in incidence, mortality, and survival rate of breast cancer. Despite the low incidence rate of breast cancer among the Korean population, Koreans are reported to be less likely to survive breast cancer. In this article, using a feminist perspective, the reasons why Korean women have been reported to be less likely to survive breast cancer are analyzed through a critical review of research among Korean women. A total of 469 studies (145 unpublished master's theses and doctoral dissertations and 324 articles published in South Korea and in the United States) were reviewed, analyzed, and critiqued in terms of biases present in the research process. Through a feminist critique of the literature, four possible reasons are proposed: androcentric views and assumptions underlying the research, modesty issues imbedded in Korean culture, the victim-blaming tendency of Korean culture, and intense emotions without adequate support.

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)0.007
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.974
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0020.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.004
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 head0.329
GPT teacher head0.591
Teacher spread0.261 · 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 designOther design
Domainnot available
GenreReview

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

Citations26
Published2000
Admission routes1
Has abstractyes

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