Understanding Adaptive Leadership in the Context of Nursing Homes
Bibliographic record
Abstract
Rapidly growing populations of older adults rely heavily on formal long-term care services such as those provided in nursing homes. Nursing home staff are confronted with complex challenges. We explored how staff ( N = 88), particularly care aides, interpreted challenges and responded to them by taking adaptive leadership roles, and engaging in technical and adaptive work in nursing homes. We conducted analysis of the ethnographic case studies. In long-term care settings, staff face complex challenges in improving resident care due to contextual barriers. These include demanding work conditions and inadequate resources. Additionally, top-down communications, despite being well-intentioned, often lead to misinterpretation and a lack of staff motivation. Nonetheless, we found that certain staff managed to overcome these contextual barriers and effectively execute change initiatives by assuming adaptive leadership roles. Formal leaders have a vital role in empowering staff, including care aides, and facilitating their adaptive leadership behaviors.
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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 | 0.000 |
| 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 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".