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
Business leaders are exploring ways to improve organizational performance through organizational design, including reviewing the structures of their organization. Grounded in McKinsey’s 7S framework, the purpose of this qualitative single case study was to explore organizational design strategies healthcare leaders used to improve organization performance. Participants were 6 leaders within a healthcare organization in Alberta, Canada, who successfully developed and implemented organizational design strategies to improve organizational performance. The data collection techniques included a review of internal and external documents, a reflective journal, and semistructured interviews. I used methodological triangulation and thematic analysis to complete the data analysis. The data analysis resulted in 6 key themes: leadership impact on organizational design, stakeholder engagement, staff considerations, corporate structure, organizational design strategy, and system processes. A key recommendation is that organizational leaders should complete organizational design. Implications for social change include leaders using or adapting the study’s findings to implement organizational design strategies, improve organization performance, and ultimately affect higher quality services. In addition, improved performance and culture might create sustainability, which results in increased job security and enhanced quality of life for employees.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it