Modeling Temporal Uncertainty in Historical Datasets

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23330%2F23%3A43971021" target="_blank" >RIV/49777513:23330/23:43971021 - isvavai.cz</a>

Výsledek na webu

<a href="https://ceur-ws.org/Vol-3558/paper5123.pdf" target="_blank" >https://ceur-ws.org/Vol-3558/paper5123.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Modeling Temporal Uncertainty in Historical Datasets

Popis výsledku v původním jazyce

This paper explores several approaches to assess temporal trends within archaeological and historical datasets containing records marked with signifcant extent of uncertainty accompanying their dating. We evaluate the strengths and pitfalls of these methodologies by employing two datasets: one comprising ancient shipwrecks and the other ancient Greek inscriptions. While these objects can, in principle, be precisely dated to specific years, they are often assigned broader date ranges, spanning centuries or longer historical periods. We propose that the most promising approaches involve using these date ranges as defining probabilities. By randomly assigning specific dates based on these probabilities, we enable hypothesis testing for temporal trends. As we want to encourage other scholars to employ the methods we propose, we offer a detailed description of the implementation of these methods using functions from the Python tempun package.

Název v anglickém jazyce

Modeling Temporal Uncertainty in Historical Datasets

Popis výsledku anglicky

This paper explores several approaches to assess temporal trends within archaeological and historical datasets containing records marked with signifcant extent of uncertainty accompanying their dating. We evaluate the strengths and pitfalls of these methodologies by employing two datasets: one comprising ancient shipwrecks and the other ancient Greek inscriptions. While these objects can, in principle, be precisely dated to specific years, they are often assigned broader date ranges, spanning centuries or longer historical periods. We propose that the most promising approaches involve using these date ranges as defining probabilities. By randomly assigning specific dates based on these probabilities, we enable hypothesis testing for temporal trends. As we want to encourage other scholars to employ the methods we propose, we offer a detailed description of the implementation of these methods using functions from the Python tempun package.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

60102 - Archaeology

Projekt

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Návaznosti

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the Conference on Computational Humanities Research 2023

ISBN

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ISSN

1613-0073

e-ISSN

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Počet stran výsledku

13

Strana od-do

413-425

Název nakladatele

CEUR-WS

Místo vydání

Paříž

Místo konání akce

Paříž

Datum konání akce

6. 12. 2023

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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