Transformation into a New Education Paradigm and the Role of Ecosystemic Leadership
Bibliographic record
Abstract
The Education subgroup of the GL-21 project recognizes that education plays a triple role in regard to the new model of leadership. First, we need education to serve leadership, to help educate leaders of the 21st century. In order to do so, education itself needs to be transformed so it can deliver new curricula and new pedagogies and thus it needs new models of leadership to carry it forward. Finally, as the educational sector itself transforms, it can evolve into space for transformational leadership. In other words, it can lead the change for society, as a venue where new knowledge and skills can be developed or even created, and where the future can be prototyped. Accordingly, education must model the change that society needs. It has to respond to new challenges to become the change we want to see in the world. In this paper, we will focus on the necessary changes to education and its leadership to accomplish such a mission.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.003 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".