Resilience, Reinvention and Transition during and after Quarantine
Bibliographic record
Abstract
Quarantine measures and the crises triggering them are never neutral in the sense that a return to the past is impossible. These measures are also a signal of other things like systemic risks and weaknesses. A period of quarantine is also a thing in and by itself. What happens after quarantine is thus shaped both by the state of the social-ecological system preceding quarantine and by what happened during quarantine. The selectivities introduced during quarantine span discursive, institutional and material realms. Old discourses can return with a new meaning. Social and economic relations can reappear seemingly unchanged, they can be more visibly altered and they can be dismantled. Ideologies, however, to be understood here as master discourses, read problems and solutions in their own way and do not necessarily come closer to each other or disappear. All this, offers food for thought regarding the possibilities and limits of resilience and transition. We argue that the current COVID- 19 pandemic casts doubt on the generic applicability of theories of resilience and transition, yet also sheds a new light on the value of both. We propose the concept of reinvention to describe what is happening and what could happen in a more coordinated fashion. We argue that the current crisis reveals mechanisms in systems dynamics that point at the existence of multiple pathways after dramatic system shocks. Some shocks and their system- specific responses (such as a particular kind of quarantine) are more amenable to resilience strategies afterwards, while others require a path of radical transition. They might also both be needed: a rather stark transition now might ensure future resilience. While the outline of the system after transition is not clear, some desirable features are clear as are the risks and damages of the current system. Also clear is the argument for transitional governance, a temporary governance system (beyond quarantine) which can enable the construction of new long term perspectives in governance and new governance tools meant to reduce chances of a crisis like this one reoccuring.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.030 |
| Scholarly communication | 0.006 | 0.009 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".