Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 158-166 |
| Seitenumfang | 9 |
| Fachzeitschrift | Studies in History and Philosophy of Science |
| Jahrgang | 94 |
| Frühes Online-Datum | 29 Juni 2022 |
| Publikationsstatus | Veröffentlicht - Aug. 2022 |
Abstract
Over the last twenty-five years, climate scientists working on the attribution of climate change to humans have developed increasingly sophisticated statistical models in a process that can be understood as a kind of calibration: the gradual changes to the statistical models employed in attribution studies served as iterative revisions to a measurement(-like) procedure motivated primarily by the aim of neutralizing particularly troublesome sources of error or uncertainty. This practice is in keeping with recent work on the evaluation of models more generally that views models as tools for particular tasks: what drives the process is the desire for models that provide more reliable grounds for inference rather than accuracy to the underlying mechanisms of data generation.
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- Geisteswissenschaftliche Fächer (insg.)
- Verlauf
- Geisteswissenschaftliche Fächer (insg.)
- Wissenschaftsgeschichte und -philosophie
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in: Studies in History and Philosophy of Science, Jahrgang 94, 08.2022, S. 158-166.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Calibrating statistical tools
T2 - Improving the measure of Humanity's influence on the climate
AU - Dethier, Corey
N1 - Funding Information: Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – Project 254954344/GRK2073/2.
PY - 2022/8
Y1 - 2022/8
N2 - Over the last twenty-five years, climate scientists working on the attribution of climate change to humans have developed increasingly sophisticated statistical models in a process that can be understood as a kind of calibration: the gradual changes to the statistical models employed in attribution studies served as iterative revisions to a measurement(-like) procedure motivated primarily by the aim of neutralizing particularly troublesome sources of error or uncertainty. This practice is in keeping with recent work on the evaluation of models more generally that views models as tools for particular tasks: what drives the process is the desire for models that provide more reliable grounds for inference rather than accuracy to the underlying mechanisms of data generation.
AB - Over the last twenty-five years, climate scientists working on the attribution of climate change to humans have developed increasingly sophisticated statistical models in a process that can be understood as a kind of calibration: the gradual changes to the statistical models employed in attribution studies served as iterative revisions to a measurement(-like) procedure motivated primarily by the aim of neutralizing particularly troublesome sources of error or uncertainty. This practice is in keeping with recent work on the evaluation of models more generally that views models as tools for particular tasks: what drives the process is the desire for models that provide more reliable grounds for inference rather than accuracy to the underlying mechanisms of data generation.
KW - attribution
KW - calibration
KW - climate change
KW - measurement
KW - statistics
UR - http://www.scopus.com/inward/record.url?scp=85132950086&partnerID=8YFLogxK
U2 - 10.1016/j.shpsa.2022.06.010
DO - 10.1016/j.shpsa.2022.06.010
M3 - Article
C2 - 35779370
AN - SCOPUS:85132950086
VL - 94
SP - 158
EP - 166
JO - Studies in History and Philosophy of Science
JF - Studies in History and Philosophy of Science
SN - 0039-3681
ER -