The Frigid Golden Age: Experiencing Climate Change in the Dutch Republic, 1560-1720
Bibliographic record
Abstract
During the nadir of the Little Ice Age between 1565 and 1720, average European temperatures declined by nearly one degree Celsius. While altered weather patterns strained the adaptive abilities of Europe’s agricultural societies, the northern Netherlands enjoyed the prosperity of its Golden Age. The economy, culture, and environment of the Dutch Republic yielded a distinct pattern of vulnerability and resilience in the face of early modern climate change. In this dissertation, newly interpreted documents are examined alongside scientific evidence, first to establish relationships between local, short-term environmental conditions and human activity, and ultimately to identify broader connections between long-term climate change and the history of the Dutch Republic. This methodology reveals that the coldest decades of the Little Ice Age presented not only challenges but also opportunities for Dutch citizens. \nCentral to the increasingly capitalist economy of the Dutch Republic was the development, maintenance, and continued expansion of transportation networks that spanned the globe. Complex relationships between local environments, weather, and climatic trends stimulated new discoveries in Arctic waters, quickened the journeys of outbound United East India Company ships, hampered Baltic commerce, and altered how travelers moved within the borders of the Republic. Weather patterns that accompanied the Little Ice Age also affected how commerce was forcibly expanded and defended. The Anglo-Dutch Wars, fought from 1652 to 1674, were contested in a period of transition between decade-scale climatic regimes. In the first war, meteorological conditions that accompanied a warmer interval in the Little Ice Age granted critical advantages to English fleets, which were usually victorious. By contrast, in the latter wars, weather patterns that now reflected a cooling climate repeatedly helped Dutch fleets prevail over the English and later French armadas. \nFinally, climatic fluctuations affected mentalities within the Dutch Republic. Understandings of weather in the Republic may have demonstrated a vague awareness of climate change, and cultural responses to weather reflected the resilience of the Republic by expressing the conviction that weather could be confronted and endured. Ultimately, the influence of the Little Ice Age was ambiguous for the resilient society of the Dutch Republic in its Golden Age.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".