School Choice and Educational Stratification

Recent growth in the number of school choice programs across the country has ignited debate on the stratifying effects of these programs. In the context of interdistrict open enrollment, this paper analyzes—both theoretically and empirically—how choice programs affect stratification levels through the mechanisms of (i) the relative characteristics of program participants and nonparticipants and (ii) the schooling choices of different groups of program participants. The theoretical analysis uses Monte Carlo simulation techniques to analyze a hypothetical world where interdistrict choice is available to students in three school districts that are allowed to vary in student composition, the type of students who take advantage of the interdistrict choice program, and schooling choices of students who open enroll. The results of these simulations provide an understanding of the conditions under which an interdistrict open enrollment program leads to increases, decreases, or no changes in stratification levels. The empirical analysis uses data from the universe of students attending Colorado public schools in 2009–10 to examine how the state's interdistrict choice program affects stratification levels. It also analyzes the factors responsible for any increases or decreases in stratification and finds both participation patterns and differences in schooling decisions across groups to play important roles. The paper concludes with a discussion of its implications for research and policy.     

Dendrochronology and archival texts: Dating the Ottoman fortress of Seddülbahir on the Gallipoli Peninsula,Turkey*

This paper provides the results of the dendrochronological analyses of seven wood samples from the Ottoman fortress of Seddülbahir on the Gallipoli Peninsula or Turkey. It concludes that the trees were cut in the late spring of 1656. The data collected allows the first building phase of the fortress to be securely dated. By bringing together the dendrochronological results with various archival records about the fortress, a more precise building chronology for the fortress can be reconstructed. The probable initial period of construction was between 1656 and 1661.     

Statistical Network Analysis for Analyzing Policy Networks

To analyze social network data using standard statistical approaches is to risk incorrect inference. The dependencies among observations implied in a network conceptualization undermine standard assumptions of the usual general linear models. One of the most quickly expanding areas of social and policy network methodology is the development of statistical modeling approaches that can accommodate such dependent data. In this article, we review three network statistical methods commonly used in the current literature: quadratic assignment procedures, exponential random graph models (ERGMs), and stochastic actor‐oriented models. We focus most attention on ERGMs by providing an illustrative example of a model for a strategic information network within a local government. We draw inferences about the structural role played by individuals recognized as key innovators and conclude that such an approach has much to offer in analyzing the policy process.     

The Mollö Cog Re‐Examined and Re‐Evaluated

As part of a research project on medieval trade and maritime transportation in the former Norwegian province of Bohuslän, western Sweden, a dendrochronological analysis of the so‐called Mollö cog was undertaken. The wreck, which was first salvaged in 1980, was previously dated by ¹⁴C analysis. Since this provided a nearly 400‐year time‐span for the building of the vessel, a more precise dating was considered essential. In conjunction with dendrochronological sampling, several features not previously reported were recorded. This paper presents the find, the research history and the results of the dendrochronological investigation. © 2012 The Authors     

Models of settlement hierarchy based on partial evidence

The modelling of past settlement and landscape structure from incomplete evidence is a well-established archaeological agenda. This paper highlights a model of spatial interaction and settlement evolution that has long been popular in urban geography and which was first applied to model historical settlement hierarchies some twenty-five years ago, but whose use since then for archaeological purposes has been very limited. Via a case study from Bronze Age Crete, we extend the analytical range of this model by suggesting ways in which it can (a) remain effective in the presence of missing data, (b) be given a stronger grounding in the physical landscape, and/or (c) be used to consider the evolutionary trajectory of settlements and physical routes over time.     

Using network expectations to identify multiple exchange systems: A case study from Postclassic Sauce and its hinterland in Veracruz,Mexico

Exchanges of material objects often play a pivotal role in the trajectories of political, social, and economic development for ancient societies, but the study can be challenging because of the complexity of exchange. Multiple forms of exchange co-exist in ancient societies including market exchange and social exchange such as gift-giving. A further complicating factor is that different exchange systems such as redistribution and central place market exchange can result in the same regional spatial patterning of artifacts. Recent innovations in identifying exchange systems use network expectations for spatial, contextual, and distributional information to help distinguish between social exchanges such as gift-giving versus market exchange using household inventories. I introduce a Monte Carlo computer simulation to evaluate network expectations for alternative exchange mechanisms, using a case study of decorated ceramics from 65 residential inventories from the center of Sauce and its hinterland during the Middle Postclassic period (1200–1350 A.D.) in southcentral Veracruz, Mexico. Using these new tools, I identify the coexistence of several exchange systems operating simultaneously. The methods developed here demonstrate the potential of using network expectations to refine existing methods to identify different exchange systems that can be applied to other complex ancient economies.