Personal Construct Theory: a strategy for the study of multidimensional phenomena in nursing.
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
Nursing research is characterized by the study of complex phenomena relative to health behaviours, health-care services, illness, and hospitalization events.The challenge for researchers is to accurately capture and analyze multidimensional phenomena in the context of a dynamic interplay of events and interactions in clinical settings.Traditional methodologies measure a variety of concepts using strategies such as observation and questionnaires that rely on descriptive and inferential statistical analysis. However, the dynamic interplay of experiences, perceptions, and meanings in the social context of the clinical setting is more difficult to examine using these methodologies. In a recent study, an innovative, multidimensional theory and accompanying methodology were employed to examine parents’ experiences in the dynamic social context of the hospital setting. Personal Construct Theory, with its accompanying methodology, Repertory Grid Technique, is a new approach (based on an old theory) to nursing research that is especially well suited to the study of complex, multidimensional research questions. Implications for nursing research, theory development, and practice will be examined relative to the utility of Personal Construct Theory.
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 | 0.000 |
| 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 | 0.000 |
| 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