10,079 research outputs found
Is gender a learned performance or a performance based on previous sporting experiences? A comparative case study of female university football and rugby athletes in the east midlands
Gender inequality still exists and participation rates within different sports which are adjudged to be
masculine or feminine. Previous studies have outlined how gender in sport is contested. However,
few studies have attempted to draw a comparison between two sports. Using a Bourdieusian
framework, the principal aim of the present study was to explore how playing a masculine sport
informs an agent’s construction of femininity in University level football and rugby. An
understanding of how participants negotiated the gendered sporting practices and gendering of
their bodies was sought. Participants were recruited based on a purposive sampling method where
in total, 30 athletes (15 footballers and 15 rugby players) completed a questionnaire. Of this initial
sample, 5 participants from each group took part in an unstructured group interview. Both
questionnaires and interviews were analysed using the three stage qualitative analysis procedure:
data reduction, data display and conclusion drawing; interviews were transcribed and coded using
axial thematic analysis. Both rugby and football players faced similar gendered discriminatory
experiences from schools, peers and in some cases strong sexist ideologies from teachers. However,
due to the hyper masculinity associated within rugby, players faced considerable resistance from
external sources - particularly from peers. The development of a specific embodied and gendered
habitus within the field of rugby, in particular, and football was described. The findings increases
current knowledge regarding female participation within the sports and offers insight into why
participation differs between the two sports thus highlight ways to engage more females in these
sports
Private Graphon Estimation for Sparse Graphs
We design algorithms for fitting a high-dimensional statistical model to a
large, sparse network without revealing sensitive information of individual
members. Given a sparse input graph , our algorithms output a
node-differentially-private nonparametric block model approximation. By
node-differentially-private, we mean that our output hides the insertion or
removal of a vertex and all its adjacent edges. If is an instance of the
network obtained from a generative nonparametric model defined in terms of a
graphon , our model guarantees consistency, in the sense that as the number
of vertices tends to infinity, the output of our algorithm converges to in
an appropriate version of the norm. In particular, this means we can
estimate the sizes of all multi-way cuts in .
Our results hold as long as is bounded, the average degree of grows
at least like the log of the number of vertices, and the number of blocks goes
to infinity at an appropriate rate. We give explicit error bounds in terms of
the parameters of the model; in several settings, our bounds improve on or
match known nonprivate results.Comment: 36 page
Generalized cover ideals and the persistence property
Let be a square-free monomial ideal in , and
consider the sets of associated primes for all integers . Although it is known that the sets of associated primes of powers of
eventually stabilize, there are few results about the power at which this
stabilization occurs (known as the index of stability). We introduce a family
of square-free monomial ideals that can be associated to a finite simple graph
that generalizes the cover ideal construction. When is a tree, we
explicitly determine for all . As consequences, not
only can we compute the index of stability, we can also show that this family
of ideals has the persistence property.Comment: 15 pages; revised version has a new introduction; references updated;
to appear in J. Pure. Appl. Algebr
Knot concordance in homology cobordisms
Let denote the group of knots in
homology spheres that bound homology balls, modulo smooth concordance in
homology cobordisms. Answering a question of Matsumoto, the second author
previously showed that the natural map from the smooth knot concordance group
to is not surjective. Using
tools from Heegaard Floer homology, we show that the cokernel of this map,
which can be understood as the non-locally-flat piecewise-linear concordance
group, is infinitely generated and contains elements of infinite order.Comment: 28 pages, 16 figure
Revealing Network Structure, Confidentially: Improved Rates for Node-Private Graphon Estimation
Motivated by growing concerns over ensuring privacy on social networks, we
develop new algorithms and impossibility results for fitting complex
statistical models to network data subject to rigorous privacy guarantees. We
consider the so-called node-differentially private algorithms, which compute
information about a graph or network while provably revealing almost no
information about the presence or absence of a particular node in the graph.
We provide new algorithms for node-differentially private estimation for a
popular and expressive family of network models: stochastic block models and
their generalization, graphons. Our algorithms improve on prior work, reducing
their error quadratically and matching, in many regimes, the optimal nonprivate
algorithm. We also show that for the simplest random graph models ( and
), node-private algorithms can be qualitatively more accurate than for
more complex models---converging at a rate of
instead of . This result uses a new extension lemma
for differentially private algorithms that we hope will be broadly useful
DCU at the TREC 2008 Blog Track
In this paper we describe our system, experiments and re-
sults from our participation in the Blog Track at TREC
2008. Dublin City University participated in the adhoc re-
trieval, opinion finding and polarised opinion finding tasks.
For opinion finding, we used a fusion of approaches based
on lexicon features, surface features and syntactic features.
Our experiments evaluated the relative usefulness of each of
the feature sets and achieved a significant improvement on
the baseline
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