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Record W3011428659 · doi:10.5539/gjhs.v12n4p46

Life Experiences of Women with Leprosy in South Korea

2020· article· en· W3011428659 on OpenAlexvenueno aff
Hogi Jung, Rayun Yang, Yaki Yang

Bibliographic record

VenueGlobal Journal of Health Science · 2020
Typearticle
Languageen
FieldMedicine
TopicLeprosy Research and Treatment
Canadian institutionsnot available
FundersMinistry of Science and ICT, South KoreaNational Research Foundation of KoreaNational Research Foundation
KeywordsLeprosyKarmaMedicineQualitative researchDiseasePublic healthSocial stigmaStigma (botany)Family medicineGerontologyPsychiatryNursingSociologyGeographyDermatology

Abstract

fetched live from OpenAlex

AIM: The purpose of this study was to identify the life experiences of women diagnosed with leprosy in South Korea. METHODS: The study included seven purposively chosen participants from the Sorokdo Hospital (leprosy resident hospital). Data were collected through a series of in-depth individual interviews from January to July 2015. The data analysis method was based on Colaizzi’s approach. RESULTS: The study’s results showed that the experiences of women diagnosed with leprosy in South Korea consisted of 10 themes and 4 theme clusters: 1) A disease perceived as a state of damnation, 2) Irresistible karma, 3) Fading candles in the wind, and 4) A will to live. CONCLUSION: These findings demonstrate that health care professionals should pay attention to not only treating the physical and psychological symptoms of leprosy patients but also attempt to influence the community and public culture in order to reduce the social stigma around this disease. The results of this study can help us in a better understanding of the lived experiences of women diagnosed with leprosy.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.079
Threshold uncertainty score0.999

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 communication0.0000.000
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 head0.042
GPT teacher head0.364
Teacher spread0.322 · 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 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
Published2020
Admission routes1
Has abstractyes

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