MétaCan
Menu
Back to cohort

Research hotspots of mutuality: A visualization analysis based on CiteSpace

2023· article· en· W4388932493 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueChinese Journal of Integrative Nursing · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicComputational and Text Analysis Methods
Canadian institutionsnot available
Fundersnot available
KeywordsVisualizationGeographyComputer scienceData mining

Abstract

fetched live from OpenAlex

Objective To understand the current situation, hotspot and development trend of the research about mutuality in the past 20 years in China and abroad, so as to provide reference for the research about mutuality in China. Methods CiteSpace software and bibliometric online analysis platform were used to visually analyze the literature about mutuality research published between January 1, 2003 and March 1, 2023. Results A total of 11 Chinese literatures and 1374 English literatures were included. The number of annual publications is on the rise, and the countries with large research contributions were the United States, the UK and Canada. Foreign research institutions were mainly concentrated in colleges and universities, with close exchanges and cooperation, while domestic research institutions were few and dispersed, with less cooperation and exchange. The frontiers of mutuality research were “quality of life” and “caregivers” in China. Foreign study of mutuality mainly focused on impact and caregivers, and extended the scope of the study to nursing of cancer and chronic diseases, as wells as interplay of mental health between patients and their caregivers. Conclusion The study of mutuality has a wide scope. It has been used extensively in psychology, medicine and other fields in foreign countries. However, the study of dependency relationship has just been started in our country. Therefore, Chinese scholars should combine our national conditions and culture, draw lessons from mature research abroad, and innovate and deepen on this basis. (目的 了解国内外近20年相依关系研究的现状、热点和发展趋势, 为我国相依关系研究提供参考和借鉴。方法 使用CiteSpace软件和文献计量在线分析平台对国内外2003年1月1日至2023年3月1日相依关系研究文献进行可视化分析。结果 中文文献共纳入11篇, 英文文献共纳入1374篇。年度发文量呈上升趋势, 研究贡献较大的国家是美国、英国和加拿大; 国外研究机构主要集中于高校, 交流合作较紧密; 国内研究机构较少, 且分布相对分散, 合作交流较少。国内相依关系的护理研究前沿为“生活质量”和“照顾者”, 已在相关疾病领域, 国外集中于将相依关系应用于研究前沿为“impact”、“caregivers”, 并已延伸到癌症、慢性病等护理等领域, 对患者和照顾者心理健康问题的相互影响进行了深入了解。结论 相依关系研究范围较为广泛, 国外已将其大量应用于心理学、医学等多个领域, 而我国对于相依关系的研究才起步不久。国内学者应结合我国国情和文化, 借鉴国外成熟研究, 在此基础上创新和深入。)

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.

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)0.008
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.346
Threshold uncertainty score0.657

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.014
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 head0.104
GPT teacher head0.551
Teacher spread0.447 · 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