High-Trust Leadership and Blended Learning in the Age of Disruptive Innovation: Strategic Thinking for Colleges and Schools of Education
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
We introduce diverse definitions of leadership and its evolutionary history and then we integrate this idea network: strategic thinking, high-trust leadership, blended learning, and disruptive innovation. Following the lead of Marx’s (2014) model of Teaching Leadership and Strategy and Rehm’s (2014) model of High School Student Leadership Development, we identify how the Holland and Piper (2014) Technology Integration Education (TIE) model serves as a complementary guide for assessing the leadership performance of preservice teachers, who will be educating future K-12 leaders. We identify 20 research questions that education colleges and schools can use as evidence-based management in their undergraduate courses and their doctoral programs in education leadership. We conclude by recommending the special leadership role that colleges and schools of education play in sustaining democracy.
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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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 it