Ethnic Discrimination in Multi-ethnic Societies: Evidence from Russia

This is the final version. Available on open access from Oxford University Press via the DOI in this recordField experiments have provided ample evidence of ethnic and racial discrimination in the labour market. Less is known about how discrimination varies in multi-ethnic societies, where the ethnic composition of populations is different across locations. Inter-group contact and institutional arrangements for ethnic minorities can mitigate the sense of group threat and reduce discrimination. To provide empirical evidence of this, we conduct a field experiment of ethnic discrimination in Russia with a sample of over 9,000 job applications. We compare ethnically homogeneous cities and cities with ethnically mixed populations and privileged institutional status of ethnic minorities. We find strong discrimination against visible minorities in the former but much weaker discrimination in the latter. These findings demonstrate how institutions and historical contexts of inter-group relations can affect ethnic prejudice and discrimination.British AcademyNational Research University Higher School of EconomicsRussian Academic Excellence Projec

An innovative classroom reading intervention for Year 2 and 3 pupils who are struggling to learn to read: Evaluating the Integrated Group Reading Programme

Executive summary and project report - May 2018Nuffield Foundatio

Academisation of Schools in England and Placements of Pupils With Special Educational Needs: An Analysis of Trends, 2011–2017

This is the author accepted manuscript. The final version is available via the DOI in this recordThis paper aims to examine the changes in school composition in England from 2011 to 2017 by school type and school phase; the speed of academisation by region; and the changes in the proportions of pupils with special educational needs (SEN) at SEN Support and EHC Plan levels overall. We analyse publicly available school level data from the National Pupil Database (NPD) to document two simultaneous trends in English education between 2011 and 2017. First, we observe an increasing percentage of the schools that have become Academies, especially in the secondary mainstream sector, but also among primary schools, special schools and pupil referral units. Second, we document a decreasing percentage of pupils who were classified as having SEN. While the decrease happened across all types of schools, it was particularly steep in Sponsored Academies. This evidence does not necessarily imply that the academisation of English schools has had a negative effect on the inclusion of pupils with SEN. However, the findings have significance to provide the basis for a more in-depth analysis of these trends and the causal effects of academisation involving individual and school level analyses. They can also inform national and local policy review of how pupils are identified as having SEN and in the context of international moves toward greater inclusive education.Economic and Social Research Council (ESRC

The Myth about Universal Higher Education: Russia in the International Context

This is the final version. Available from the National Research University Higher School of Economics (HSE) via the DOI in this recordIt is widely believed that higher education in Russia has become almost universal and more people go to universities compared to most European countries. In this paper we explore this issue empirically with the Russian and European census data and data from the Trajectories in Education and Careers (TREC), a longitudinal cohort study. According to the 2010 census, only 34% of people aged between 25 and 34 in Russia have university degrees, which is nearly the same as in most Eastern European countries and slightly fewer than in Western Europe. The TREC data show that only about 50% of 2012 ninthgrade graduates were university students in 2015. The expansion of higher education in Russia has been in line with the overall European trends. Similar to other countries, there have been changes to the gender composition of university students in Russia over the last two decades, with girls being more likely to attend university than boys. The analysis of social backgrounds of students with different educational trajectories reveals a considerable social inequality within the Russian education system. Eighty-four percent of school graduates with university-educated parents are admitted to university, as compared to only 32% of children from less-educated families. Graduation from ninth grade represents an educational fork that is crucial for inequality, as children from less socially advantaged families tend to opt for vocational education at this stage. Graduation from eleventh grade is a less important educational transition: at least 80% of high school students get admitted to university after graduating from 11th grade

A statistical evaluation of the effects of a structured postdoctoral programme

Published© 2014 Society for Research into Higher Education. Postdoctoral programmes have recently become an important step leading from doctoral education to permanent academic careers in the social sciences. This paper investigates the effects of a large and structured postdoctoral programme in the social sciences on a number of academic and non-academic outcomes of fellows. Propensity score matching is employed to match fellows with applicants with similar characteristics who did not receive the fellowship; then the outcomes in the treatment and control groups are compared. The programme has a statistically significant positive effect on the general life satisfaction of former fellows and their publication activity. It is argued that an active and collegial research environment, with training in academic skills during postdoctoral employment, may improve the academic outcomes of postdoctoral fellows

The tempo of cultural change in the Kostenki Upper Paleolithic : further insights

open access via Cambridge University Press agreement This work was funded by the Leverhulme Trust (AHOB3 and RPG-2012-800). We thank the staff of the ORAU past and present for their careful laboratory work. We also thank the reviewers and Editor-in-Chief for their comments. AB and AS acknowledge Russian Science Foundation grant numbers 20-78-10151 and 18-78-00136, and Russian Foundation of Basic Research grant numbers 18-39-20009, 18-00-00837 and 20-09-00233. We also acknowledge the participation of IHMC RAS (state assignment 0184-2019-0001) and ZIN RAS (state assignment АААА-А19-119032590102-7). We thank the UK Natural Environment Research Council (NERC) for supporting the Oxford node of the National Environmental Isotope Facility (NEIF).Peer reviewedPublisher PD

Predicting perceived ethnicity with data on personal names in Russia

This is the final version. Available on open access from Springer via the DOI in this recordData availability statement: The research data supporting this publication and the Python code are openly available from Github at: https://github.com/abessudnov/ruEthnicNamesPublicIn this paper, we develop a machine learning classifier that predicts perceived ethnicity from data on personal names for major ethnic groups populating Russia. We collect data from VK, the largest Russian social media website. Ethnicity was coded from languages spoken by users and their geographical location, with the data manually cleaned by crowd workers. The classifier shows the accuracy of 0.82 for a scheme with 24 ethnic groups and 0.92 for 15 aggregated ethnic groups. It can be used for research on ethnicity and ethnic relations in Russia, with the data sets that have personal names but not ethnicity

Performance and automation of ancient DNA capture with RNA hyRAD probes

DNA hybridization-capture techniques allow researchers to focus their sequencing efforts on preselected genomic regions. This feature is especially useful when analys- ing ancient DNA (aDNA) extracts, which are often dominated by exogenous environ- mental sources. Here, we assessed, for the first time, the performance of hyRAD as an inexpensive and design-free alternative to commercial capture protocols to obtain authentic aDNA data from osseous remains. HyRAD relies on double enzymatic re- striction of fresh DNA extracts to produce RNA probes that cover only a fraction ofthe genome and can serve as baits for capturing homologous fragments from aDNA li- braries. We found that this approach could retrieve sequence data from horse remains coming from a range of preservation environments, including beyond radiocarbon range, yielding up to 146.5-fold on-target enrichment for aDNA extracts showing ex- tremely low endogenous content (20%¿30%), while the fraction of endogenous reads mapping on- and off-target was relatively insensi- tive to the original endogenous DNA content. Procedures based on two instead of a single round of capture increased on-target coverage up to 3.6-fold. Additionally, we used methylation-sensitive restriction enzymes to produce probes targeting hypo- methylated regions, which improved data quality by reducing post-mortem DNA dam- age and mapping within multicopy regions. Finally, we developed a fully automated hyRAD protocol utilizing inexpensive robotic platforms to facilitate capture process- ing. Overall, our work establishes hyRAD as a cost-effective strategy to recover a set of shared orthologous variants across multiple ancient samples.This project received funding from: the University Paul Sabatier IDEX Chaire d’Excellence (OURASI); the CNRS Programme de Recherche Conjoint (PRC); the CNRS International Research Project (IRP AMADEUS); the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 797449; the Russian Foundation for Basic Research, project No. 19-59-15001 “Horses and their importance in the life of the ancient population of Altai and adjacent territories: interdisciplinary research and reconstruction”; and the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement 681605)

The origins and spread of domestic horses from the Western Eurasian steppes

This is the final version. Available on open access from Nature Research via the DOI in this recordData availability: All collapsed and paired-end sequence data for samples sequenced in this study are available in compressed fastq format through the European Nucleotide Archive under accession number PRJEB44430, together with rescaled and trimmed bam sequence alignments against both the nuclear and mitochondrial horse reference genomes. Previously published ancient data used in this study are available under accession numbers PRJEB7537, PRJEB10098, PRJEB10854, PRJEB22390 and PRJEB31613, and detailed in Supplementary Table 1. The genomes of ten modern horses, publicly available, were also accessed as indicated in their corresponding original publications57,61,85-87.NOTE: see the published version available via the DOI in this record for the full list of authorsDomestication of horses fundamentally transformed long-range mobility and warfare. However, modern domesticated breeds do not descend from the earliest domestic horse lineage associated with archaeological evidence of bridling, milking and corralling at Botai, Central Asia around 3500 BC. Other longstanding candidate regions for horse domestication, such as Iberia and Anatolia, have also recently been challenged. Thus, the genetic, geographic and temporal origins of modern domestic horses have remained unknown. Here we pinpoint the Western Eurasian steppes, especially the lower Volga-Don region, as the homeland of modern domestic horses. Furthermore, we map the population changes accompanying domestication from 273 ancient horse genomes. This reveals that modern domestic horses ultimately replaced almost all other local populations as they expanded rapidly across Eurasia from about 2000 BC, synchronously with equestrian material culture, including Sintashta spoke-wheeled chariots. We find that equestrianism involved strong selection for critical locomotor and behavioural adaptations at the GSDMC and ZFPM1 genes. Our results reject the commonly held association between horseback riding and the massive expansion of Yamnaya steppe pastoralists into Europe around 3000 BC driving the spread of Indo-European languages. This contrasts with the scenario in Asia where Indo-Iranian languages, chariots and horses spread together, following the early second millennium BC Sintashta culture