Economic Analysis of the Latent Factors Related to the Nursing Shortage
Bibliographic record
Abstract
The aim of the study was, to economically analyze o the latent factors related to nursing shortage at Cairo University Hospitals. Research design: A descriptive, methodological design was utilized. Research Questions: 1) Is the economic analysis of nursing shortage related to the actual auditing records of nursing data at Cairo University Hospitals (2011-2015). 2) What are the contributing factors leading to the nursing shortage at Cairo University Hospitals. 3) What are the economic recommendations for the present concerns related to nursing shortage. Tools of data collection: The researchers used auditing records related to nursing staff at mentioned area (2011-2015) and Questionnaire. Random sample of (N= 179). Cronbach's Alpha was 0.885. The finding revealed that nurses supply, mostly from Secondary School (84%). A critical demand for more nurses 30%-40% in certain units due to high work load. Most of the nurses were not satisfied about monitory compensation, participation in decision making and inadequate supplies.
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How this classification was reachedexpand
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 | 0.001 |
| Science and technology studies | 0.008 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".