Exploring a Hybrid Leadership Model in Higher Education Institutions in Times of Crisis
Bibliographic record
Abstract
This chapter presents a case for the adaptation of a hybrid model of leadership for mid-level executives in higher education institutions (HEIs) during times of crises. The authors propose the ACT framework, which is the hybridization of adaptive, collaborative, and transformative leadership theories, as a suitable model for HEIs' mid-level executives to use during times of crises. First, the authors explore the tenets of the theories and their application. Second, they examine their appropriateness for use by mid-level executives and ultimately propose a hybrid model. To illustrate the merits and potential of the model, the authors analyzed two cases to highlight the benefits of applying this model. The ACT framework benefits these leaders through crisis management training that facilitates capacity building in the formulation of equitable solutions, collaboration, and agility in responding to complex adaptive, wicked problems. The authors present the ACT framework as a suitable option for solving crises in HEIs through case studies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 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 | 0.003 | 0.005 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".