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Research Priorities of Korean Oncology Nurses

2003· article· en· W2040269868 on OpenAlexaff
Eun‐Hyun Lee, Jin‐Sun Kim, Bok Yae Chung, Mi Suuk Bok, Byung Eun Song, Sung Wha Kong, Eun‐Ok Lee

Bibliographic record

VenueCancer Nursing · 2003
Typearticle
Languageen
FieldMedicine
TopicDiverse Approaches in Healthcare and Education Studies
Canadian institutionsSt Mary's Hospital Centre
Fundersnot available
KeywordsMedicineOncology nursingOncologyInternal medicineNursing researchClinical OncologyNursingFamily medicineCancerNurse education

Abstract

fetched live from OpenAlex

Systematic nursing research activities in South Korea began in the 1970s, but research into oncology did not begin until the mid-1980s. Although the number of Korean oncology nursing studies has increased steadily since then, no national agenda exists for future research in oncology nursing. This study involved a descriptive survey of oncology nursing research priorities among Korean oncology nurses. The analysis included 59 members of the Korean Oncology Nursing Society. The questionnaire used by the Oncology Nursing Society in a US survey was revised and translated into Korean. The questionnaire contained 108 items. In addition, respondents were asked to rank 5 items in order of research priority. The Korean Oncology Nursing Society members ranked prevention of cancer and cancer risk reduction as the top research priority, followed by pain management, quality of life, hospice and end-of-life care, and standards of care. These findings provide the basis for developing a Korean oncology nursing research agenda, and for determining the direction of oncology research funding.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.748
Threshold uncertainty score0.202

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 studies0.0000.000
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 head0.362
GPT teacher head0.563
Teacher spread0.201 · 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 designOther design
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

Citations10
Published2003
Admission routes1
Has abstractyes

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