Global Crisis: War, Climate Change and Catastrophe in the Seventeenth Century
Geoffrey Parker
"Revolutions, droughts, famines, invasions, wars, regicides - the calamities of the mid-seventeenth century were not only unprecedented, they were agonizingly widespread. A global crisis extended from England to Japan, and from the Russian Empire to sub-Saharan Africa. North and South America, too, suffered turbulence. The distinguished historian Geoffrey Parker examines first-hand accounts of men and women throughout the world describing what they saw and suffered during a sequence of political, economic and social crises that stretched from 1618 to the 1680s. Parker also deploys scientific evidence concerning climate conditions of the period, and his use of 'natural' as well as 'human' archives transforms our understanding of the World Crisis.
Award History
0 wins · 1 total
| Award | Year | Result | Category / Notes |
|---|---|---|---|
| PROSE Award for World History | 2013 | Honorable mention | Official source |
Experimental book profileGenerated by GPT-5.4 nano · may contain inaccuracies
This is an unverified interpretation of the catalog description, offered as an opt-in discovery experiment—not as bibliographic fact.
01 Central figures
None extracted with sufficient confidence.
02 Central places
None extracted with sufficient confidence.
These suggestions did not meet the normal display threshold and are more likely to be wrong.
- England44%
- Japan40%
- sub-Saharan Africa36%
03 Suggested argument
No argument inferred with sufficient confidence.
This suggestion did not meet the normal display threshold and is more likely to be wrong.
The mid-seventeenth-century calamities were widespread and interconnected globally, and Parker argues that combining first-hand accounts with scientific climate evidence and “natural” archives reshapes understanding of the crisis.
Model confidence 52%
04 Reading orientation
70 / 100 academicAcademic
An estimate of intended readership and scholarly apparatus—not quality or importance.
Confidence percentages are the model's own estimates. Profile confidence: 62%.