Malaysian Electoral System Reform and the Challenges of its Implementation After the 14th General Election

Prior to the 14th general election (GE-14), electoral practices in Malaysia have been often criticised as being obscure and biased since it was plagued with issues such as dubious voter registers and ballot paper fraud. Therefore, in its manifesto during GE-14, Pakatan Harapan (PH) promised to reform this electoral practice to make it more independent, transparent, and fair. PH then won the GE-14 on the strength of this vow, forcing it to keep its manifesto pledge. However, implementing the said promise is not easy as most of the proposals involve amendments to the Federal Constitution that require the support of at least a two-thirds majority. The fact that PH lacks such a majority has raised the issue of whether or not the objective to reform the electoral system can be materialised. Thus, this article examines the aspects of electoral reform implemented by PH during its 22 months in power and assesses the challenges faced in implementing such electoral system reform. The concept of electoral reform was used as an analytical tool in this article. This article mainly obtained its data from secondary sources including books, journals, theses, official government documents and websites, while primary data were collected from unstructured interviews with authoritative informants. Findings revealed that among the important reforms of the country's electoral system that have been accomplished by PH are improving the standard operating procedures of elections, enhancing election rules that do not require amendments, amending laws that require simple majority support in the parliament, and implementing ‘high-impact’ electoral reforms that require amendments to the Federal Constitution. Moreover, it was also discovered that the main challenge to reforming the electoral system was the constraint of electoral rule amendments that require the approval of a two-thirds majority of parliamentarians. Other obstacles included politicians' unwillingness to accept a new electoral system culture, barriers to accessing data and information owned by other agencies, discrepancies between federal and state legislation, and financial constraints on improving existing hardware and systems necessary for electoral reform success.

A variational-autoencoder approach to solve the hidden profile task in hybrid human-machine teams

Online, social media bots have been accused to spread misinformation and support extreme or minority-held opinions. However, bots in hybrid human-machine teams can also be designed to improve team performance. In this paper, we study the effect of a single minority-supporting bot in hybrid teams in a carefully controlled experiment. People working in teams of 10 were asked to solve a hidden-profile prediction task, where task-relevant information was scattered unequally across team members. To do well in this task, pieces of information shared by the minority and the majority of players should be integrated. Simple majority-based decisions are not enough to perform well as information held by minority players is also valuable. We used a variational auto-encoder to train a bot to learn people's information distribution by observing how people's judgements correlated over time. After training, a bot was designed to increase team performance by selectively supporting opinions proportionally to their under-representation in the team. We show that the presence of a single bot (representing 10\% of team members) can significantly increase the polarization between minority and majority opinions by making minority opinions less prone to social influence. Although the effects on hybrid team performance were negligible, the bot presence significantly influenced team opinion dynamics. These findings show that unsupervised learning can be used to program bots that can improve team performance.

Awareness on Soil Health Management Scheme by Farmers of Tumakuru District in Karnataka

The present study was carried out in 23 Raitha Samparka Kendras inGubbi ,Kunigal, Madhugiri and Tumakuru taluks of Tumakuru district in Karnataka state to know the extent of awareness of farmers regarding Soil Health Management Scheme (SHMS). Thirty beneficiary farmers of SHMS were randomly selected from 12 RSKs for the study. A pre-tested schedule was used to collect relevant data from the respondents. The results revealed that half of the beneficiary farmers (50.00%) had more awareness about SHMS, whereas one-third (33.33%) and 16.67 per cent of the beneficiary farmers were awareness and less awareness regarding the SHMS, respectively. A vast majority of the farmers were aware of the objectives, interventions, mode of operation, selection criteria of beneficiaries and subsidy on various agricultural inputs pertaining to SHMS.A simple majority of the farmers (53.33%) had contacted Assistant Agricultural Officer for obtaining information on SHMS, while half of the farmers (50.00% each) had contacted Agricultural Officer and Agricultural Assistant for obtaining information regarding SHMS. The results of path analysis revealed that extension agency contact of farmers had direct and indirect effect on the extent of awareness on SHMS. The first, second and third largest indirect effect channelled through is extension agency contact (X9) in the case of five variables, mass media participation (X8) in the case of five variables and education (X1) in the case of three variables, respectively.

Preference–Approval Structures in Group Decision Making: Axiomatic Distance and Aggregation

Preference–approval structure combines the preference information of both ranking and approval, which extends the ordinal preference model by incorporating two categories of choice alternatives, that is, acceptable (good) and unacceptable (bad), in the preference modeling process. In this study, we present some axioms that imply the existence of a unique distance function of preference–approval structures. Based on theoretical analysis and simulation experiments, we further study a preferences aggregation model in the group decision-making context based on the proposed axiomatic distance function. In this model, the group preference is defined as a preference–approval structure that minimizes the sum of its distances to all preference–approval structures of individuals in the group under consideration. Particularly, we show that the group preference defined by the axiomatic distance–based aggregation model has close relationships with the simple majority rule and Cook and Seiford’s ranking.

VOTING TRENDS IN THE 1986-2018 GENERAL ELECTION IN MALAYSIA BASED ON GEOGRAPHICAL MAPPING

Malaysia adopts a system of parliamentary democracy and a constitutional monarchy which has a first past the post electoral system which is the determination of victory in elections based on a simple majority. Election results are caused by certain factors and will shape certain voting patterns. Therefore, it is the purpose of writing this article to analyze the voting trends in the General Election (GE) 1986-2018 in Malaysia based on the geographical mapping. The writing of this article is based on the 1986-2018 GE results data, field observations during elections, and the production of a geographical distribution map of GE results for Parliament and DUN by using ArcGIS software and analyzed based on authoritative secondary sources. The results show that there are several geographical elements that can be associated with the results and patterns of voting in terms of location and region. The voting pattern between the eight GEs shows a fluctuation or pendulum based on the achievement of the number of seats in both Parliament and DUN between the ruling party which for a long time (1955-2013) namely Perikatan/Barisan Nasional (BN) with opposition parties such as DAP, PAS, PKR, and others. The dynamics of this support are due to, among others, geographical factors and other factors such as issues, leadership, ethnicity, governing experience, media, party ideology, sociological factors, and rational choice. Therefore, it is hoped that the impact of writing this article can provide a new dimension of dynamic electoral political thinking as well as strategic and artistic for the sake of power and can add more data and research information related to electoral politics and electoral geography.

Flip a coin or vote? An experiment on the implementation and efficiency of social choice mechanisms

Corporate boards, experts panels, parliaments, cabinets, and even nations all take important decisions as a group. Selecting an efficient decision rule to aggregate individual opinions is paramount to the decision quality of these groups. In our experiment we measure revealed preferences over and efficiency of several important decision rules. Our results show that: (1) the efficiency of the theoretically optimal rule is not as robust as simple majority voting, and efficiency rankings in the lab can differ from theory; (2) participation constraints often hinder implementation of more efficient mechanisms; (3) these constraints are relaxed if the less efficient mechanism is risky; (4) participation preferences appear to be driven by realized rather than theoretic payoffs of the decision rules. These findings highlight the difficulty of relying on theory alone to predict what mechanism is better and acceptable to the participants in practice.

23. Conclusion

This chapter addresses the question of whether it is legally possible to entrench legislation in a way that safeguards it from repeal by the traditional ‘simple majority in Commons and Lords plus Royal Assent’ formula; and, if so, under what political circumstances it might legitimately be employed. It argues that the Blair government’s commitment to establishing a pluralist political culture is head and shoulders above any of their twentieth-century predecessors. This is most evident in its devolution legislation as well as in its embrace of the European Convention on Human Rights and Fundamental Freedoms and the provisions of the Amsterdam Treaty. The same observation may be made about the Blair government’s promotion of the Constitutional Reform Act 2005. Yet these initiatives, desirable though they may be, can hardly be seen as engineering a constituent reformation of the political system.

The 2014 Presidential Election in Turkey

The election of the 12th President of Turkey was remarkably different than the elections of the previous 11. For the first time in the history of the Republic, the head of the state was directly elected by ordinary people rather than chosen by their representatives in the Grand National Assembly of Turkey. On 10 August 2014, the incumbent Prime Minister Recep Tayyip Erdoğan won a simple majority of votes in the first round of the election and became the president for the next five years.

An Evaluation of the Effectiveness of Image-based Texture Features Extracted from Static B-mode Ultrasound Images in Distinguishing between Benign and Malignant Ovarian Masses

Significant successes in machine learning approaches to image analysis for various applications have energized strong interest in automated diagnostic support systems for medical images. The evolving in-depth understanding of the way carcinogenesis changes the texture of cellular networks of a mass/tumor has been informing such diagnostics systems with use of more suitable image texture features and their extraction methods. Several texture features have been recently applied in discriminating malignant and benign ovarian masses by analysing B-mode images from ultrasound scan of the ovary with different levels of performance. However, comparative performance evaluation of these reported features using common sets of clinically approved images is lacking. This paper presents an empirical evaluation of seven commonly used texture features (histograms, moments of histogram, local binary patterns [256-bin and 59-bin], histograms of oriented gradients, fractal dimensions, and Gabor filter), using a collection of 242 ultrasound scan images of ovarian masses of various pathological characteristics. The evaluation examines not only the effectiveness of classification schemes based on the individual texture features but also the effectiveness of various combinations of these schemes using the simple majority-rule decision level fusion. Trained support vector machine classifiers on the individual texture features without any specific pre-processing, achieve levels of accuracy between 75% and 85% where the seven moments and the 256-bin LBP are at the lower end while the Gabor filter is at the upper end. Combining the classification results of the top k ( k = 3, 5, 7) best performing features further improve the overall accuracy to a level between 86% and 90%. These evaluation results demonstrate that each of the investigated image-based texture features provides informative support in distinguishing benign or malignant ovarian masses.