Tory Travails and Collegiate Confusion: The Oxford University Election of 1722*

In terms of the unreformed franchise operative in the early 18th century, the University of Oxford made up an unusual parliamentary constituency. Here it was the votes of non-resident members that could be decisive to the outcome if the seat was contested. In late Stuart and early Hanoverian Oxford, Tories were almost certain to be returned but, in the general election of 1722, the Tory vote was split between rival candidates offering a possible opening for Oxford Whigs. This essay considers the varieties of electoral behaviour inside the university at this time of exceptional political flux nationally, how the candidates confronted the practical problem of getting ‘outvoters’ into Oxford, and the extent to which the heads of the colleges could rely on a sufficiently stable corporate identity to have their resident members vote in an approved way. The 1722 general election again raised questions as to who exactly was entitled to vote in a university constituancy, how much illegal voting was going on, and whether it was in a candidate's best interests either to connive or draw attention to it. The eventual choices made by the Oxford electorate would signal where the university stood in the wider political picture of the early 1720s, how far it – and the varieties of toryism it contained – was prepared to endorse the legitimacy of the new Hanoverian order.     

Migration and development in western Kenya, 1971-82: a retrospective study of primary school leavers

The relationship between socioeconomic development and migration in Kenya during the period 1971-1982 is explored using data from a retrospective survey of school leavers from a small area in Kakamega, Western Province, Kenya. The continuity of migration patterns over time is noted, with a predominance of circular migration and migration to the capital, Nairobi. The data indicate a steady decline in the prosperity of the region. (summary in FRE)     

QUANTITATIVE METHODS FOR INVESTIGATING THE VARIABLES THAT UNDERLIE PREFERENCE FOR LANDSCAPE SCENES

A series of quantitative methods for investigating the basis for preference for landscape scenes was applied to photographs of alpine and subalpine landscapes in Alberta. The procedure incorporates a multidimensional scaling analysis with the repertory grid technique and also employs a property vector-fitting algorithm as an aid in interpreting the dimensional solution. The preferences of a sample group were based on three criteria. In order of importance, these are character of vegetation cover, depth of field, and elevation of terrain. Additional validation of the results was obtained through a principal components analysis of the repertory grid data.     

Multiple Contexts as Cross-classified Models: The Labor Vote in the British General Election of 1992

Voters make their decisions in social and geographical contexts that can be seen as different levels in an overall data structure. Increasingly these structures are being analyzed by multilevel models, but this approach has so far been limited to structures that are strictly hierarchical. This paper outlines the approach of cross-classified multilevel models in which units at lower levels in the structure can be nested in more than one higher-level unit simultaneously. An appropriate modeling framework is outlined, models are specified, and particular attention is paid to efficient computation. The approach is illustrated through a cross-classified logit analysis of Labor versus Conservative support for a nationally representative sample of voting behavior for the 1992 British General Election. The data is structured so that individual voters at level 1 are nested within constituencies at level 2 which are cross-classified by geographical and functional regionalizations at level 3. A conclusion discusses the general utility of a cross-classified approach to geographically based contextual research, while two technical appendices provide details on model estimation.     

Archaeogenetic study of prehistoric rice remains from Thailand and India: evidence of early <Emphasis Type="Italic">japonica</Emphasis> in South and Southeast Asia

We report a successful extraction and sequencing of ancient DNA from carbonized rice grains (Oryza sativa) from six archaeological sites, including two from India and four from Thailand, ranging in age from ca. 2500 to 1500 BP. In total, 221 archaeological grains were processed by PCR amplification and primary-targeted fragments were sequenced for comparison with modern sequences generated from 112 modern rice populations, including crop and wild varieties. Our results include the genetic sequences from both the chloroplast and the nuclear genomes, based on four markers from the chloroplast and six from the nuclear genome. These markers allow differentiation of indica rice from japonica rice, the two major subspecies of Asian rice (O. sativa) considered to have separate geographical origins. One nuclear marker differentiates tropical and temperate forms of subspecies japonica. Other markers relate to phenotypic variation selected for under domestication, such as non-shattering, grain stickiness (waxy starch) and pericarp colour. Recovery and identification of sequences from nuclear markers was generally poor, whereas recovery of chloroplast sequences was successful, with at least one of four markers recovered in 61 % of archaeological grains. This allowed for successful differentiation of indica or japonica subspecies variety, with japonica identified in all the Thai material and a mixture of indica and japonica chloroplasts in the two Indian assemblages. Rice subspecies was also assessed through conventional archaeobotanical methods relying on grain metrics, based on measurements from 13 modern populations and 499 archaeological grains. Grain metrics also suggest a predominance of japonica-type grains in the Southeast Asian sites and a mixture of japonica and indica in the Indian sites with indica in the minority. The similar results of grain metrics and ancient DNA (aDNA) affirm that grain measurements have some degree of reliability in rice subspecies identification. The study also highlights the great potential of ancient DNA recovery from archaeological rice. The data generated in the present study adds support to the model of rice evolution that includes hybridization between japonica and proto-indica.