a case study from the lower city of hazor 49
analyses of frequencies, and free from problems of aggregation (unlike
minimum number of individuals/elements counts) (Grayson 1984;
Lyman 2008). In addition, diagnostic zones are small and far apart on
the skeleton, which allows the assumption of independence of counts,
necessary to analyses of frequencies, slightly easier to make.
Although cost-ecient, the diagnostic zones methods have been
criticized in the last decade for being liable to biases stemming from
density-mediated attritional processes (Marean and Frey 1997; Picker-
ing et al. 2003; Marean et al. 2004). However, empirical studies con-
ducted in later prehistoric sites (Bar-Oz and Dayan 2002; Marom and
Bar-Oz 2007) have shown the dierence between the various analytical
methods to be small. Recent studies at Tel Rehov (Marom et al. 2009)
showed a high frequencies of high-value, low-density bones, in spite
of the density-mediated attrition that was demonstrated to have taken
place at the site. A similar study of skeleton element abundance at Tel
Dor (Raban-Gerstel et al. 2008) showed similar underrepresentation
of heads and feet, which is contrary to the prediction of the “sha-
critique” for a site where consistent recovery and analysis of long-bone
sha fragments did not take place.
Processing the wet-sieved sample units includes picking through the
sieved sediments to isolate micromammal and sh bones, which are
passed on to respective experts aer their broad taxonomic designation
was recorded. All larger mammal bones are separated and counted to
calculate nds’ density per sample. Mammal bones are then sorted into
a “large mammal” (cow/horse-sized) and “medium mammal” (sheep/
goat-sized) categories, and further into long bone, axial, and cranial
fragments. e number of burnt bones is also recorded (Table 1).
e number of head, limb, and axis skeleton bones in the sieved
sample can be contrasted with the skeleton element breakdown
derived from the analysis of the identied remains per mammal size
category (medium/large) to estimate the eects of analytical and recov-
ery biases. e smaller osseous nds in the various sample units and
their division to broad taxonomic and anatomic categories can be used
to estimate what garbage had been disposed of in primary deposition
in each domestic unit. e density of nds may show activity areas
where carcass processing took place within structures, or, alternatively,
which places escaped routine cleaning (corners, under or behind
furniture, etc.).
All bones over 2 cm in length, recovered by hand or by wet sieving,
were scanned under magnication (×3) using an oblique light source