A Concept Analysis of Uncertainty in Illness
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
PURPOSE: To examine the concept of uncertainty in illness and to propose an alternate model of uncertainty in the illness experience. ORGANIZING CONSTRUCT AND METHODS: Following a review of the literature, Morse's description of concept analysis by critically appraising the literature was used as a guideline in examining the concept of uncertainty. FINDINGS: Characteristics of the illness situation--ambiguity, vagueness, unpredictability, unfamiliarity, inconsistency, and lack of information--underlie the process of uncertainty. Three attributes of the concept of uncertainty were identified as probability, temporality, and perception. Loss of personal control is often erroneously equated with uncertainty. CONCLUSIONS: Uncertainty is a multidimensional concept that in its purest form is a neutral cognitive state and should not be mistaken for its emotional outcomes. To clarify the concept of uncertainty, further research is needed to determine the relationship of uncertainty to loss of control and psychosocial outcomes.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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