What Is Dead May Never Die: Institutional Regeneration through Logic Reemergence in Dutch Beer Brewing
Bibliographic record
Abstract
Through an in-depth, historically embedded study of the craft revolution in Dutch beer brewing that began in the 1970s, we illuminate how organizational fields may experience regenerative change through the reemergence of traditional arrangements. The remarkable resurgence of craft in this context, following the rapid industrialization of the twentieth century that left only industrially produced pilsner in its wake, serves as the basis of our process theory of regenerative institutional change through logic reemergence. The results of our qualitative analysis show that institutional logics that appear dead or decomposed may never truly die, as they leave remnants behind that field actors can rediscover, repurpose, and reuse at later stages. We show how, in the Netherlands, networks of individuals that had access to the remnants of craft brewing were regenerated, in part fueled by increasing exposure to British, Belgian, and German craft brewing, and how these networks ultimately succeeded in reviving traditional prescriptions for beer and brewing, as well as restoring previously abandoned brewery forms and technologies and beer styles. These activities led not only to a sudden proliferation of alternatives to the dominant industrial pilsner but also to fundamental changes in the meaning and organization of beer brewing, as they were associated with the reinvigoration of institutional orders that preceded those of the corporation and the market. Yet we also observe how, on the ground, remnants of traditional craft often needed to be blended with contemporaneous elements from modern industrialism, as well as foreign representations of craft, to facilitate reemergence. We thus argue that regenerative institutional change likely resembles a dualistic process of restoration and transformation.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.024 |
| Scholarly communication | 0.009 | 0.011 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".