Mapping the Knowledge Utilization Field in Nursing from 1945 to 2004: A Bibliometric Analysis
Bibliographic record
Abstract
BACKGROUND: The field of knowledge utilization has been hampered by several issues including: the synonymous use of multiple terms with little attempt at definition precision; an overexamination of knowledge utilization as product, rather than a process; and a lack of progress to cross disciplinary boundaries to advance knowledge development. In order to address the challenges and current knowledge gaps in the knowledge utilization field in nursing, a comprehensive picture of the current state of the field is required. METHODS: Bibliometric analyses were used to map knowledge utilization literature in nursing as an international field of study, and to identify the structure of its scientific community. FINDINGS: Analyses of bibliographic data for 433 articles from the period 1945-2004 demonstrated three trends: (1) there has been significant recent growth and interest in this field, (2) the structure of the scientific knowledge utilization community is evolving, and (3) the Web of Science does not index the majority of journals where this literature is published. CONCLUSIONS: In order to enhance the accessibility and profile of this literature, and nursing's scientific literature at large, we encourage the International Academy of Nursing Editors to work collaboratively to increase the number of journals indexed in the Web of Science.
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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 | Not applicable | low |
| gpt | Bibliometrics Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Other design | medium |
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.046 | 0.189 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".