Bibliographic record
Abstract
PURPOSE/OBJECTIVES: To present a reconceptualization of fatigue. DATA SOURCES: Studies indexed in CINAHL, MEDLINE, PubMed, Psyc INFO, SPORTDiscus, and CancerLit from 1995-2004; studies included in the bibliographies of indexed articles; and five qualitative studies conducted by the author. DATA SYNTHESIS: Tiredness and exhaustion are conceptually distinct from fatigue. All three concepts are located along an adaptational continuum in a manner consistent with stress theory. CONCLUSIONS: Interventions should focus on the elimination or reduction of stressors and the increase of patients' resistance to stressors. IMPLICATIONS FOR NURSING: Interventions that prevent or delay progression from tiredness to fatigue will be different from those that prevent or delay progression from fatigue to exhaustion.
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 | 0.068 | 0.059 |
| Meta-epidemiology (narrow) | 0.004 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.003 |
| Bibliometrics | 0.028 | 0.017 |
| Science and technology studies | 0.005 | 0.045 |
| Scholarly communication | 0.022 | 0.054 |
| Open science | 0.008 | 0.015 |
| Research integrity | 0.008 | 0.018 |
| 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".