2022
DOI: 10.3389/feart.2021.771683
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The 4.2 ka Event and the End of the Maltese “Temple Period”

Abstract: The small size and relatively challenging environmental conditions of the semi-isolated Maltese archipelago mean that the area offers an important case study of societal change and human-environment interactions. Following an initial phase of Neolithic settlement, the “Temple Period” in Malta began ∼5.8 thousand years ago (ka), and came to a seemingly abrupt end ∼4.3 ka, and was followed by Bronze Age societies with radically different material culture. Various ideas concerning the reasons for the end of the T… Show more

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Cited by 4 publications
(3 citation statements)
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“…S1) underwent an inexorable process of fragmentation that was not followed by the emergence of new urban settlements, populations in the northern lowlands persisted 27,29 . The patterns of societal stress and resilience against precipitation changes are consistent with archaeological studies of climate and cultural change in different parts of the globe, including South America 30 , Late Antique Turkey 31 , Arabia 32 , Malta 33 and Postclassic Period Mayapan (Yucatan, Mexico) 12 .…”
supporting
confidence: 78%
See 1 more Smart Citation
“…S1) underwent an inexorable process of fragmentation that was not followed by the emergence of new urban settlements, populations in the northern lowlands persisted 27,29 . The patterns of societal stress and resilience against precipitation changes are consistent with archaeological studies of climate and cultural change in different parts of the globe, including South America 30 , Late Antique Turkey 31 , Arabia 32 , Malta 33 and Postclassic Period Mayapan (Yucatan, Mexico) 12 .…”
supporting
confidence: 78%
“…Sample size has also been suggested to be an issue with some archaeologists indicating minimum sample size estimates 88 , while others suggest that sample size thresholds should be dependent on the scale, granularity, and magnitude of specific variations of concern 85,89 . Statistical analyses suggest larger sample sizes reduce confidence envelopes 83 , though many models have been criticized for both excessive noise and over-smoothing of the data to remove this noise 33,90,91 . In this study we use Bayesian inference where the prior for each observation point is effectively the kernel density estimate distribution of all the other radiocarbon dates in the dataset using the KDE_Model function in OxCal 91 .…”
Section: Methodsmentioning
confidence: 99%
“…El evento 4.2 ka cal BP, con su probable coincidencia o concatenación de crisis climática, epidemia, movimientos migratorios a gran escala y conflictos sociales, no se prolongó más allá de ca. 2000 a. n. e. (Meller et al, 2015;Lawrence et al, 2021;Groucutt et al, 2022). Al mismo tiempo, a partir de ca.…”
Section: Introductionunclassified