On Paradox and Osteology

Jackes, Mary

doi:10.1086/204188

Cited by 34 publications

(21 citation statements)

References 5 publications

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“…Other researchers have reached analogous conclusions (Jackes, 1985;Langenscheidt, 1985;Molleson and Cohen, 1990;Konigsberg and Frankenberg, 1992;Aiello and Molleson, 1993). As far as our demographic suggestion is concerned-the use of estimators-there was little reaction (Jackes, 1992(Jackes, ,1993, probably because of the undue confidence in the adult age distribution produced by the anthropologists.…”

supporting

confidence: 58%

“…Our anthropological conclusion first met strong reaction and led to a great deal of controversy which is still not yet resolved (Van Gerven and Armelagos, 1983;BocquetAppel and Masset, 1985;Buikstra and Konigsberg, 1985;Jackes, 1985;Bocquet-Appel, 1986;Piontek and Weber, 1990;Wood et al, 1992;Jackes, 1993); but it stimulated much research and triggered reexamination of the orthodoxy based on forensic medicine, which at one time appeared very firmly established (Bocquet, 1977;Bocquet et al, 1978;Masset, 1982;Jackes, 1985; for a review see Jackes, 1992). Other researchers have reached analogous conclusions (Jackes, 1985;Langenscheidt, 1985;Molleson and Cohen, 1990;Konigsberg and Frankenberg, 1992;Aiello and Molleson, 1993).…”

mentioning

confidence: 99%

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Paleodemography: Expectancy and false hope

Bocquet‐Appel

Masset

1996

Am. J. Phys. Anthropol.

117

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From parent populations (N = 50,000) stochastically generated, representing different levels of correlation (r) between the age at death and a hypothetical biological indicator (r = 0.8-0.98), reference samples and target demographic samples are randomly drawn. Two iterative techniques, proportional fitting procedure and Bayesian, are used to estimate from the reference samples the age distribution of the targets. Due to the random fluctuations of the pattern of aging, both in the reference and target samples, these techniques converge only in expectation toward the true value of a distribution, but not in practice for any particular realization. Nevertheless, these techniques allow the estimation of the average of an age distribution, even if its shape is unknown. Under the hypothesis that the target sample is drawn from a stationary population, this average represents the life expectancy at 20 years (plus 20 years). Using this mean age at death for the adults and the juvenility index at death (D5-14/D20-omega), a new set of paleodemographic estimators were derived from 40 archaic life tables. For a hypothesized stable population, they give the life expectancy at birth and at 20 years, and the probability of death at 1 and 5 years.

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supporting

confidence: 58%

mentioning

confidence: 99%

Paleodemography: Expectancy and false hope

Bocquet‐Appel

Masset

1996

Am. J. Phys. Anthropol.

117

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“…Видимо, здесь мы сталки-ваемся с феноменом «остеологического парадокса»: индивиды, на костях которых не отмеча-ются следы воспалительных заболеваний, могут вовсе не представлять собой «группу здоро-вья» по показателю инфекционной пораженности (подробнее об этом феномене см. : [De Witte, Stojanowski, 2015;Jackes, 1993;Wood et al, 1992] …”

Section: т а б л и ц аunclassified

Untitled

2016

VAAE

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“…However, as recently reviewed by Larsen (1997), one of the most persistent challenges is determining how representative an archaeological skeletal assemblage is of the former living population it represents (see Cadien et al, 1974). This subject has long been recognized in palaeodemography (Bocquet-Appel & Masset, 1982Buikstra, 1997;Buikstra & Konigsberg, 1985;Jackes, 1992;Konigsberg & Frankenberg, 1992) and more recently palaeopathology (Byers, 1994;Cohen, 1992Cohen, , 1994Goodman, 1993;Jackes, 1993;Wood et al, 1992;Wood & Milner, 1994). Although archaeological sampling and recovering and selective burial practices also contribute to sample biases (Saunders, 1992;Saunders et al, 1995), differential preservation is most frequently implicated as the source of such bias.…”

Section: Introductionmentioning

confidence: 98%

Hydrodynamic sorting in a coastal marine skeletal assemblage

Stojanowski

2002

Intl J of Osteoarchaeology

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In this paper I evaluate the effects of wave and tidal erosion on element-specific measures of phenotypic variability. Previous research has found a high correlation between skeletal weight, shape, and density and the transport potential of an element exposed to hydrodynamic forces. However, no previous studies have attempted to address the issue of within-element sorting based on selective removal of only the smallest members of a given element class. I evaluate this hypothesis using a human skeletal sample from Bird Island (8DI52) located in Dixie County, Florida. This sample comprises two components, an eroded sample that was exposed during severe storm and tidal activity, and an uneroded sample excavated from primary context. The measurement-specific means for the subcomponents were compared using Student's t and Wilcoxon tests and variability differences were evaluated based on standard deviations, coefficients of variation, and maximum/minimum indices. The data included maxillary and mandibular tooth dimensions and postcranial metrics. No evidence for selective winnowing based on within-element size was found in this data set.

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On Paradox and Osteology

Cited by 34 publications

References 5 publications

Paleodemography: Expectancy and false hope

Paleodemography: Expectancy and false hope

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Hydrodynamic sorting in a coastal marine skeletal assemblage

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