Critical realism in nursing: an emerging approach
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
Critical realism, a philosophical framework originally developed by Roy Bhaskar in the 1970s, represents a relatively new approach to research generally and to nursing research in particular. This article explores the ontological and epistemological tenets of critical realism and examines the application of critical realist principles to nursing research and practice through a review of the literature. It is evident that few published nursing research studies have, as of yet, utilized critical realism as their paradigm of choice. Both the strengths and limitations of the presentation and use of critical realism in these studies are discussed in this article. Given the varying degrees of success of the authors in explicating critical realism as a philosophical framework, the value of critical realism to the research study, and the ways in which usage of the critical realist framework influenced development of the study and interpretation of findings, it is evident that the quality of future publications espousing the use of critical realism must continue to be strengthened significantly.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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