How Do Charge Nurses View Their Roles in Long-Term Care?
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
This article explores how registered nurses (RNs) in long-term care (LTC) understand their role as charge nurses. Data are derived from 16 charge nurses employed in 8 facilities in Ontario, Canada. Qualitative methods are used to analyze audiotapings of interviews. The findings reveal a range of dimensions and subdimensions. Charge nurses experience their work as highly complex and unpredictable. Themes that captured the following dimensions of the supervisor role in LTC include (a) against all odds, getting through the day; (b) stepping in work; and (c) leading and supporting unregulated care workers. In addition, analysis within each category reveals a complex intersection between the nurses’ perceptions of the context and their consequent work strategies. The emerging demands placed on supervisors due to the growing complexity of residents, increasing government regulations, and staffing shortages have caused the role of the charge nurse to evolve with little reflection on its impact.
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 | 0.000 | 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 | 0.001 |
| 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