Political Settlement in Somaliland: a gendered perspective

Research suggests that inclusive political settlements tend to be more stable. For Somaliland in the northern Horn of Africa, stability is underpinned by a patriarchal clan-based system that is non-gender-inclusive. The question therefore arises as to how the transition to greater inclusivity might be achieved without destabilising Somaliland’s political settlement in the process. The most recent 2012 Gender Inequality Index for Somalia rates the whole of the old Somali Republic at 0.776 (1 indicating maximum gender inequality), the fourth-lowest position in the index (UNDP Gender Unit, 2012). In practice, this means that the Somali territories are characterised by high levels of maternal mortality, gender-based violence, illiteracy, child marriage, rape, female genital mutilation and inadequate health services for women and girls. While this data does not relate to Somaliland alone, it provides a likely indication of the severity of the imbalance between women and men in the country. The data that is available for Somaliland shows similar gender disparities. Girls are less likely to be enrolled in primary school, for example, with 95,578 recorded in Somaliland in 2012/13 against an enrolment of 119,453 for boys. That disparity increases significantly at secondary level, with 12,306 female enrolments in the same year against 26,932 for males (MoLSA, 2014). Despite the pains of transition, there is good reason to consider a more inclusive political settlement as a means of reinvigorating the Somaliland polity. Our research and other evidence in the secondary literature show that people in Somaliland are becoming increasingly disillusioned with the ‘politicisation’ of clan and the rise of ‘clannism’. These developments in the political settlement are themselves potentially destabilising, but this time of change offers room for gender-focused activism that uses greater inclusivity for women and men (as well as minority groups) to help promote peaceful transition in Somaliland. In this report, we argue not only that the Somaliland political settlement is currently relatively stable but non-inclusive in gender terms, but that there are compelling reasons on both normative and instrumental grounds to urgently improve this situation. We present the results of a 21-month research project, including new primary data about attitudes towards improving women’s political participation and reducing gender-based violence. We conclude the report with a number of suggested initiatives, the contours of which are worth emphasising from the start. Firstly, it is important that international involvement is not seen to dominate gender initiatives to the degree that these interventions add to the growing perception that ‘women’s issues’ are a concern of liberal foreigners and are therefore ‘un-Somali’. Secondly, it is important that donor programmes seeking to address the gender-inclusivity of Somaliland’s political settlement take a long-term view, and are grounded in principles supported within Islamic ethical structures. The Somaliland government and political parties also have a significant role to play in opening spaces for both men and women to participate actively in political activities at all levels. Thirdly, therefore, we recommend a return to closed lists in elections, and a focus on finding ways to deliver on the constitutional guarantee of equal rights for all citizens. While it has supported Somaliland’s peace effectively in many ways, clan-based justice is manifestly unjust in many cases of sexual violence. Fourthly, we therefore suggest that it is important that mechanisms be found to draw customary elders into a legal system that provides more effectively for the victims in such cases. Somaliland’s success in establishing a viable political settlement in the face of considerable odds is impressive, but the transition from customary structures to those of representative nation-state politics exposes gender imbalances that could threaten to undermine that success. The research outlined in this report supports efforts to engender an inclusive and robust political settlement for the future

Explicit simulation of aerosol physics in a cloud-resolving model

International audienceThe role of convection in introducing aerosols and promoting the formation of new particles to the upper troposphere has been examined using a cloud-resolving model coupled with an interactive explicit aerosol module. A baseline simulation suggests good agreement in the upper troposphere between modeled and observed results including concentrations of aerosols in different size ranges, mole fractions of key chemical species, and concentrations of ice particles. In addition, a set of 34 sensitivity simulations has been carried out to investigate the sensitivity of modeled results to the treatment of various aerosol physical and chemical processes in the model. The size distribution of aerosols is proved to be an important factor in determining the aerosols' fate within the convective cloud. Nucleation mode aerosols (02SO4. Accumulation mode aerosols (d>?31.0 nm) are almost completely removed by nucleation (activation of cloud droplets) and impact scavenging. However, a substantial part (up to 10% of the boundary layer concentration) of the Aitken mode aerosol population (5.84 nm<?d<?31.0 nm) reaches the top of the cloud and the free troposphere. These particles may continually survive in the upper troposphere, or over time form ice crystals, both that could impact the atmospheric radiative budget. The sensitivity simulations performed indicate that critical processes in the model causing a substantial change in the upper tropospheric Aitken mode number concentration are coagulation, condensation, nucleation scavenging, nucleation of aerosols and the transfer of aerosol mass and number between different aerosol bins. In particular, for aerosols in the Aitken mode to grow to CCN size, coagulation appears to be more important than condensation. Less important processes are dry deposition, impact scavenging and the initial vertical distribution and concentration of aerosols. It is interesting to note that in order to sustain a vigorous storm cloud, the supply of CCN must be continuous over a considerably long time period of the simulation. Hence, the treatment of the growth of particles is in general much more important than the initial aerosol concentration itself

Seasonal variation of aerosol water uptake and its impact on the direct radiative effect at Ny-Ålesund, Svalbard

© Author(s) 2014. This work is distributed under the Creative Commons Attribution 3.0 LicenseIn this study we investigated the impact of water uptake by aerosol particles in ambient atmosphere on their optical properties and their direct radiative effect (ADRE, W m-2) in the Arctic at Ny-Ålesund, Svalbard, during 2008. To achieve this, we combined three models, a hygroscopic growth model, a Mie model and a radiative transfer model, with an extensive set of observational data. We found that the seasonal variation of dry aerosol scattering coefficients showed minimum values during the summer season and the beginning of fall (July-August-September), when small particles (< 100 nm in diameter) dominate the aerosol number size distribution. The maximum scattering by dry particles was observed during the Arctic haze period (March-April-May) when the average size of the particles was larger. Considering the hygroscopic growth of aerosol particles in the ambient atmosphere had a significant impact on the aerosol scattering coefficients: the aerosol scattering coefficients were enhanced by on average a factor of 4.30 ± 2.26 (mean ± standard deviation), with lower values during the haze period (March-April-May) as compared to summer and fall. Hygroscopic growth of aerosol particles was found to cause 1.6 to 3.7 times more negative ADRE at the surface, with the smallest effect during the haze period (March-April-May) and the highest during late summer and beginning of fall (July-August-September).Peer reviewe

Inverse modelling of cloud-aerosol interactions – Part 2: Sensitivity tests on liquid phase clouds using a Markov chain Monte Carlo based simulation approach

This paper presents a novel approach to investigate cloud-aerosol interactions by coupling a Markov chain Monte Carlo (MCMC) algorithm to an adiabatic cloud parcel model. Despite the number of numerical cloud-aerosol sensitivity studies previously conducted few have used statistical analysis tools to investigate the global sensitivity of a cloud model to input aerosol physiochemical parameters. Using numerically generated cloud droplet number concentration (CDNC) distributions (i.e. synthetic data) as cloud observations, this inverse modelling framework is shown to successfully estimate the correct calibration parameters, and their underlying posterior probability distribution. &lt;br&gt;&lt;/br&gt; The employed analysis method provides a new, integrative framework to evaluate the global sensitivity of the derived CDNC distribution to the input parameters describing the lognormal properties of the accumulation mode aerosol and the particle chemistry. To a large extent, results from prior studies are confirmed, but the present study also provides some additional insights. There is a transition in relative sensitivity from very clean marine Arctic conditions where the lognormal aerosol parameters representing the accumulation mode aerosol number concentration and mean radius and are found to be most important for determining the CDNC distribution to very polluted continental environments (aerosol concentration in the accumulation mode &gt;1000 cm&lt;sup&gt;−3&lt;/sup&gt;) where particle chemistry is more important than both number concentration and size of the accumulation mode. &lt;br&gt;&lt;/br&gt; The competition and compensation between the cloud model input parameters illustrates that if the soluble mass fraction is reduced, the aerosol number concentration, geometric standard deviation and mean radius of the accumulation mode must increase in order to achieve the same CDNC distribution. &lt;br&gt;&lt;/br&gt; This study demonstrates that inverse modelling provides a flexible, transparent and integrative method for efficiently exploring cloud-aerosol interactions with respect to parameter sensitivity and correlation

Deception in context: coding nonverbal cues, situational variables and risk of detection

There are many situations in which deception may arise and understanding the behaviors associated with it are compounded by various contexts in which it may occur. This paper sets out a coding protocol for identifying cues to deception and reports on three studies, in which deception was studied in different contexts. The contexts involved manipulating risks (i.e., probability) of being detected and reconnaissance, both of which are related to terrorist activities. Two of the studies examined the impact of changing the risks of deception detection, whilst the third investigated increased cognitive demand of duplex deception tasks including reconnaissance and deception. In all three studies, cues to deception were analyzed in relation to observable body movements and subjective impressions given by participants. In general, the results indicate a pattern of hand movement reduction by deceivers, and suggest the notion that raising the risk of detection influences deceivers? behaviors. Participants in the higher risk condition displayed increased negative affect (found in deceivers) and tension (found in both deceivers and truth-tellers) than those in lower risk conditions

The Arctic summer atmosphere: an evaluation of reanalyses using ASCOS data

The Arctic has experienced large climate changes over recent decades, the largest for any region on Earth. To understand the underlying reasons for this climate sensitivity, reanalysis is an invaluable tool. The Arctic System Reanalysis (ASR) is a regional reanalysis, forced by ERA-Interim at the lateral boundaries and incorporating model physics adapted to Arctic conditions, developed to serve as a state-of-the-art, high-resolution synthesis tool for assessing Arctic climate variability and monitoring Arctic climate change. <br><br> We use data from Arctic Summer Cloud-Ocean Study (ASCOS) to evaluate the performance of ASR and ERA-Interim for the Arctic Ocean. The ASCOS field experiment was deployed on the Swedish icebreaker <i>Oden</i> north of 87° N in the Atlantic sector of the Arctic during August and early September 2008. Data were collected during the transits from and to Longyearbyen and the 3-week ice drift with <i>Oden</i> moored to a drifting multiyear ice floe. These data are independent and detailed enough to evaluate process descriptions. <br><br> The reanalyses captures basic meteorological variations coupled to the synoptic-scale systems, but have difficulties in estimating clouds and atmospheric moisture. While ERA-Interim has a systematic warm bias in the lowest troposphere, ASR has a cold bias of about the same magnitude on average. The results also indicate that more sophisticated descriptions of cloud microphysics in ASR did not significantly improve the modeling of cloud properties compared to ERA-Interim. This has consequences for the radiation balance, and hence the surface temperature, and illustrate how a modeling problem in one aspect of the atmosphere, here the clouds, feeds back to other parameters, especially near the surface and in the boundary layer

Attentional bias towards threatening and neutral facial expressions in high trait anxious children.

Research suggests anxious children display increased attentional biases for threat-related stimuli. However, findings based upon spatial domain research are equivocal. Moreover, few studies allow for the independent analysis of trials containing neutral (i.e., potentially ambiguous) faces. Here, we report two temporal attentional blink experiments with high trait anxious (HTA) and low trait anxious (LTA) children. In an emotive experiment, we manipulated the valence of the second target (T2: threatening/positive/neutral). Results revealed that HTA, relative to LTA, children demonstrated better performance on neutral trials. Additionally, HTA children demonstrated a threat-superiority effect whereas LTA children demonstrated an emotion-superiority effect. In a non-emotive control, no differences between HTA and LTA children were observed. Results suggest trait anxiety is associated with an attentional bias for threat in children. Additionally, the neutral face finding suggests HTA children bias attention towards ambiguity. These findings could have important implications for current anxiety disorder research and treatments

Comparison of engagement and emotional responses of older and younger adults interacting with 3D cultural heritage artefacts on personal devices

The availability of advanced software and less expensive hardware allows museums to preserve and share artefacts digitally. As a result, museums are frequently making their collections accessible online as interactive, 3D models. This could lead to the unique situation of viewing the digital artefact before the physical artefact. Experiencing artefacts digitally outside of the museum on personal devices may affect the user's ability to emotionally connect to the artefacts. This study examines how two target populations of young adults (18–21 years) and the elderly (65 years and older) responded to seeing cultural heritage artefacts in three different modalities: augmented reality on a tablet, 3D models on a laptop, and then physical artefacts. Specifically, the time spent, enjoyment, and emotional responses were analysed. Results revealed that regardless of age, the digital modalities were enjoyable and encouraged emotional responses. Seeing the physical artefacts after the digital ones did not lessen their enjoyment or emotions felt. These findings aim to provide an insight into the effectiveness of 3D artefacts viewed on personal devices and artefacts shown outside of the museum for encouraging emotional responses from older and younger people

The role of motion and intensity in deaf children’s recognition of real human facial expressions of emotion

© 2017 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.There is substantial evidence to suggest that deafness is associated with delays in emotion understanding, which has been attributed to delays in language acquisition and opportunities to converse. However, studies addressing the ability to recognise facial expressions of emotion have produced equivocal findings. The two experiments presented here attempt to clarify emotion recognition in deaf children by considering two aspects: the role of motion and the role of intensity in deaf children’s emotion recognition. In Study 1, 26 deaf children were compared to 26 age-matched hearing controls on a computerised facial emotion recognition task involving static and dynamic expressions of 6 emotions. Eighteen of the deaf and 18 age-matched hearing controls additionally took part in Study 2, involving the presentation of the same 6 emotions at varying intensities. Study 1 showed that deaf children’s emotion recognition was better in the dynamic rather than static condition, whereas the hearing children showed no difference in performance between the two conditions. In Study 2, the deaf children performed no differently from the hearing controls, showing improved recognition rates with increasing rates of intensity. With the exception of disgust, no differences in individual emotions were found. These findings highlight the importance of using ecologically valid stimuli to assess emotion recognition.Peer reviewedFinal Published versio