Embedded Assumptions in Qualitative Studies of Fatigue
Bibliographic record
Abstract
Qualitative researchers have long recognized that fatigue is a common concern among those with chronic illness; however, the insights derived from this body of inquiry have not been synthesized into a coherent body of clinical knowledge that could provide direction for nursing practice. Using a synthesis approach of meta-study, the authors identify four predominant assumptions embedded in qualitative studies that have influenced the way researchers have interpreted and made sense of their findings about fatigue in chronic illness over the past two decades. They argue that these assumptions may have inhibited the development of more dynamic, comprehensive understandings of fatigue. They conclude that addressing some of the methodological issues within this body of research might lead to a more accurate portrayal of the complexity, fluidity, and contextual nature of the fatigue experienced in chronic illness.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.404 | 0.490 |
| Meta-epidemiology (narrow) | 0.002 | 0.003 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.008 | 0.011 |
| Science and technology studies | 0.009 | 0.045 |
| Scholarly communication | 0.017 | 0.025 |
| Open science | 0.008 | 0.014 |
| Research integrity | 0.009 | 0.009 |
| Insufficient payload (model declined to judge) | 0.003 | 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, unvalidatedMachine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".