Bibliographic record
Abstract
Psychological empowerment is a cultural, social, or psychological process that enhances individual control and autonomy over thoughts, emotions, and behaviors by developing attributes like self-identity, autonomy, and self-efficacy, which are integral to success in modern organizational management, particularly in service sectors like nursing. This study aimed to analyze the study focus, thematic trends, and evolution of studies on nurse psychological empowerment by using bibliometric analysis. The articles on nurses' psychological empowerment were obtained from the Web of Science Core Collection (WOSCC) database from its inception to November 30, 2023. The R package “bibliometrix” was used to conduct the data analysis and graphical presentation. A total of 188 publications on nurses' psychological empowerment were included. Publications were mainly from the USA, Canada, and China. The most frequent keywords included “empowerment”, “psychological empowerment”, “nurses”, “nursing”, “job satisfaction”, “structural empowerment”, “burnout” and “leadership”, the most frequent topics were “power”, “settings”, “work satisfaction”, and “turnover”. This bibliometric analysis identified the research trend of nurses’ psychological empowerment in the past 25 years, and this subject has already become an active field of study in nursing research. In addition, nurse retention-related themes such as job satisfaction, and work environment have become hot topics in current research while structural equation model-based themes have been less studied.
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
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | Bibliometrics Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
| gpt | Bibliometrics Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Other design | high |
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.016 | 0.076 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.210 | 0.259 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".