Strategies for Christian Educators and Administrators to move from pre-pandemic VUCA reaction to post-pandemic VUCA 2.0 response.
Bibliographic record
Abstract
Abstract Pre-pandemic Volatile, Uncertain, Complex and Ambiguous (VUCA) realities added specific complexity to education and administrative practice at Christian schools, influencing Christian school educators and administrator reactions to the challenges experienced in their social and professional contexts (Ungerer, Ungerer and Herholdt, 2016). Post-pandemic realities however, will require greater diligence for Christian educators and administrators. The transition from pre-pandemic reactive responses to VUCA influence on Christian school environments to applying visionary, understandable, courageous and adaptive (VUCA 2.0) strategic principles for those same environments, is a necessary strategic challenge to accept. Christian school educators and administrators wanting to support a healthy and effective whole school practice and affirm identity, mission, purpose and strategic practice in a post pandemic environment must push through the fog of reaction and commit themselves to VUCA 2.0 success (George, 2017).
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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 | 0.013 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.006 |
| Scholarly communication | 0.013 | 0.008 |
| Open science | 0.003 | 0.020 |
| Research integrity | 0.010 | 0.015 |
| Insufficient payload (model declined to judge) | 0.020 | 0.003 |
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".