Surviving a Crisis: Transformation, Adaptation, and Resistance in Higher Education
Bibliographic record
Abstract
After periods of crisis, it has been assumed that social institutions like higher education will also change radically – and perhaps even fail. In contrast to this expectation, this paper demonstrates that such moments of intense disruption result not only in transformation but are additionally accompanied by significant levels of adaptation and some resistance. Drawing from a larger study of the impact of crisis on higher education, this paper explores some of the ways that higher education responds to major political, economic, and social change at both system and organizational levels. Taking the collapse of the Soviet Union in 1991 as the moment of crisis, the paper presents findings from a comparative case study of three ex-Soviet countries with new primary source data generated by interviews with experienced faculty members at the frontline of change. Understanding what it takes for higher education to survive a crisis makes an important contribution to comparative higher education studies by showing the variegated ways that higher education institutions and systems respond to crisis and to filling the gap in theory-driven explanations of system and organizational responses to major change.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".