1,720,993 research outputs found
Modern slavery in the UK: the role and impact of multi-agency collaboration
This thesis presents findings from research into the role and impact of five place-based multi-agency anti-slavery partnerships in the UK. The research uses a single case-study approach with multiple embedded units of analysis. It draws upon data from five geographic regions of the UK as the basis of a comparative analysis that involves the full spectrum of statutory and non-statutory organisations that undertake anti-slavery work. The thesis focuses, in particular, on the role of partnerships in victim identification and support, while simultaneously discussing issues and drawing upon existing discourse associated with policy, legislation and the macro conditions that impose barriers on such efforts. The research finds a developing landscape of anti-slavery partnership work, progressed, primarily, by statutory organisations such as the police and local government in each of the five regions. It identifies that within those regions, a range of activities are being undertaken that aim to support law enforcement, improve detection rates of victims, and work around limitations in national victim support provisions by raising awareness, providing training to public-facing staff and implementing local processes and practice. Overall, it concludes that although there is much to applaud in the range and scope of activity being undertaken by local partnerships, more work is needed across the board to evaluate their impact moving forward
Does the classroom level matter in the design of educational trials? A theoretical & empirical review.
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
An onion of white advantage? (in UK HE degree attainment)
After a couple of decades examining the statistics of structural educational inequality in the English education system from early years to university access, I first examined attainment differences amongst UK graduates across ethnic, socioeconomic and gender groups in 2015. The statistical practice that I observed both shocked and confused me. Shocked to see how out-of-step HE practices were with all educational levels leading up to HE. Confused that HE was a ‘system exemplar’ for poor statistical practice (the educational ‘capstone’ status of the University/Academy had made me assume/expect different/better). The confusion has since receded, but shock remains and has helped motivate a fascination in the quantitative methodology of UK HE equality analyses.
This paper focuses specifically on HE equality analyses relating to student ethnicity. In becoming acclimatised to HE ethnicity equality analyses, the more you look, the more problems you will see. In this paper, I present the statistical problems as a series ‘onion layers’ all of which could be placed under two broad methodological themes: measurement and sample representation.
In developing a Critical Race Theory of statistics (QuantCrit), Gillborn et al. (2018) highlighted how statistical data and analyses can be deployed to support or obstruct progress in racial equity. This paper draws on the principles of QuantCrit to consider the substantive implications of the layers of statistical obfuscation found in UK HE ethnicity equality analyses. One thing is clear, current practice commonly results in analyses that understate the extent of educational advantage enjoyed by white graduates in UK HE.
Gillborn, D., Warmington, P. & Demack, S. (2018) QuantCrit: education, policy, ‘Big Data’ and principles for a critical race theory of statistics, Race Ethnicity and Education, 21:2, 158-179, DOI: 10.1080/13613324.2017.137741
The Statistics of Pupil Segregation in England
In the context of the 2020 exam 'debacle', this paper examines two statistical 'icebergs' that measure aspects of between-school and within-school variance in the English education system; participation in private education and the ‘the school effect’. These are 'icebergs' because
they both display a superficial appearance of being relatively small but
both have hidden, socially divisive, depths. The historical obsession
with pupil segregation in England is discussed with reference to the
disgraced psychologist Cyril Burt and more recent policy makers enthrallment by eugenicist beliefs. In terms of private schools, between
40 and 50% of pupils from families with greatest economic and cultural
capital are shown to be privately educated compared with an overall
average of 7%. In terms of the school effect, a majority of variance in
pupil attainment is shown to reside at the structural level of school and
(more importantly) classroom levels. In other words, the English education system is socially engineered so that grades are more determined
by structural location than the efforts or agency of pupils or teachers.
The analyses lead into a discussion of between-school and within-school pupil segregation. Finally, the paper calls for a new post-Covid
‘Spirit’ to de-engineer the system to unleash the talent, ability and potential of pupils, students and teachers
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
- …
