Nursing concept analysis in North America: state of the art
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.
Bibliographic record
Abstract
The strength of a discipline is reflected in the development of a set of concepts relevant to its practice domain. As an evolving professional discipline, nursing requires further development in this respect. Over the past two decades in North America there have emerged three different approaches to concept analysis in nursing scholarship: Wilsonian-derived, evolutionary, and pragmatic utility. The present paper compares and contrasts these three methods of concept in terms of purpose, procedures, philosophical underpinnings, limitations, guidance for researchers, and ability to contribute to nursing knowledge and disciplinary advancement. This work extends prior criticisms of concept analysis methods, especially as formulated by Morse and colleagues, by promoting further critical discussion regarding the direction and effectiveness of nursing efforts to meet the basic needs of disciplinary development. Its central thesis is that nursing concept analysis must advance beyond the Wilsonian-derived methods of Walker and Avant by devoting greater attention to understanding the domain of concepts to be analysed and deriving features from these contexts.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it