Corruption and Policy Implementation in the Philippines: A Comparative Analysis of the Teacher Training and Textbook Delivery Programmes

Corruption is a perennial obstacle to the Philippines’ pursuit of development. The Department of Education (DepEd) is considered to be one of the most corrupt agencies in the Philippines. However, there are two DepEd programmes with different levels of effectiveness in controlling corruption. The Textbook Delivery Programme has been ineffective while the Programme on Basic Education has been successful. The article explains the different levels of implementing these programmes by using local perspectives via the ‘narratives of implementation actors’. Apart from providing insights on the challenges facing the evolving educational bureaucracy in the Philippines, this article also demonstrates the utility of network actor perspectives in appreciating the many concerns that determine and impede implementation performance and discusses the causes and impact of corruption and policy implementation on two public educational programmes.     

The causes of legal rents extraction: evidence from Spanish municipalities

This paper analyzes the causes of legal political rent extraction by using a direct measure of it, namely, local top politicians’ wages. In particular, we investigate whether local politicians’ incentives to extract rents by setting their own wages are influenced by the degree of political competition and voter information. We use a sample of the largest Spanish municipalities over the years 2008–2010. The results indicate that weaker political competition and lesser voter information are related to more rent extraction. In an additional analysis, we show that higher wages do not ensure better financial management. These findings confirm that when politicians can set their own salaries, higher wages do not mean better management, but they are just political rents.     

Hair-MAP: a prototype automated system for forensic hair comparison and analysis

This paper demonstrates the feasibility of the automation of forensic hair analysis and comparison task using neural network explanation systems (NNESs). Our system takes as input microscopic images of two hairs and produces a classification decision as to whether or not the hairs came from the same person. Hair images were captured using a NEXTDimension video board in a NEXTDimension color turbo computer, connected to a video camera. Image processing was done on an SGI indigo workstation. Each image is segmented into a number of pieces appropriate for classification of different features. A variety of image processing techniques are used to enhance this information. Use of wavelet analysis and the Haralick texture algorithm to pre-process data has allowed us to compress large amounts of data into smaller, yet representative data. Neural networks are then used for feature classification. Finally, statistical tests determine the degree of match between the resulting collection of hair feature vectors. An important issue in automation of any task in criminal investigations is the reliability and understandability of the resulting system. To address this concern, we have developed methods to facilitate explanation of neural network's behavior using a decision tree. The system was able to achieve a performance of 83% hair match accuracy, using 5 of the 21 morphological characteristics used by experts. This shows promise for the usefulness of a fuller scale system. While an automated system would not replace the expert, it would make the task easier by providing a means for pre-processing the large amount of data with which the expert must contend.     

Institutional Suicide and Elite Coordination: The Spanish Transition Revisited

ABSTRACT

In the literature on democratisation, the Spanish case has a paradigmatic status, especially for the negotiations between the regime and the opposition. While these negotiations did stabilise the new regime, the transition was driven by the regime’s elites. The key event was the approval of the Law for Political Reform in November 1976, when the legislature voted its own demise. The change was done according to the rules of the system. To explain this reform, we offer a formal model of coordination and a statistical analysis of an original dataset of the 531 legislators. The reform was possible because of elites’ belief coordination.     

A review of security and privacy concerns in digital intelligence collection

In recent years, government leaks have brought many alleged potential privacy violating intelligence collection programs to the public arena. Intelligence collection can affect the privacy rights of citizens from any country. While the concept of privacy is a complicated one, United States citizen privacy is protected by various policies and laws. This paper reviews these alleged intelligence collection programs, as well as specific laws set in place to protect privacy. Also presented are discussions on public opinion and whether or not digital intelligence collection are providing a safer environment for Americans.     

The 2015 Spanish election: the times they are a’ changing

The Spanish legislative election of 2015 speaks of change. This is the end of the traditional two-party system and the beginning of a new political era marked by institutional renewal. The Socialist Party and the Partido Popular have both lost significant parliamentary force, whereas two new parties (Podemos, and Ciudadanos) are now crucial to ensure stable government majorities. This new parliamentary scenario seems to better mirror the political pluralism of a changing society which has already demonstrated for change in striking events such as the 15-M Movement. However, political parties are far from showing conciliatory aspirations, possibly because a new election is suddenly a realistic option. This report outlines the political context of the election, indicates the main topics during the campaign and discusses the results.     

Deep learning for sex determination: Analyzing over 200,000 panoramic radiographs

The objective of this study is to assess the performance of an innovative AI-powered tool for sex determination using panoramic radiographs (PR) and to explore factors affecting the performance of the convolutional neural network (CNN). The study involved 207,946 panoramic dental X-rays and their corresponding reports from 15 clinical centers in São Paulo, Brazil. The PRs were acquired with four different devices, and 58% of the patients were female. Data preprocessing included anonymizing the exams, extracting pertinent information from the reports, such as sex, age, type of dentition, and number of missing teeth, and organizing the data into a PostgreSQL database. Two neural network architectures, a standard CNN and a ResNet, were utilized for sex classification, with both undergoing hyperparameter tuning and cross-validation to ensure optimal performance. The CNN model achieved 95.02% accuracy in sex estimation, with image resolution being a significant influencing factor. The ResNet model attained over 86% accuracy in subjects older than 6 years and over 96% in those over 16 years. The algorithm performed better on female images, and the area under the curve (AUC) exceeded 96% for most age groups, except the youngest. Accuracy values were also assessed for different dentition types (deciduous, mixed, and permanent) and missing teeth. This study demonstrates the effectiveness of an AI-driven tool for sex determination using PR and emphasizes the role of image resolution, age, and sex in determining the algorithm's performance.     

Development of a Questionnaire on Intentions to Engage in Dating Violence Among Puerto Rican Residents

Journal of Family Violence - This mixed-methods paper describes the development and preliminary validation of the Behavioral Intentions Questionnaire (BIQ), a multi-scale questionnaire developed to...     

Towards Performance,Quality and Environmental Management in Local Government: the Case of Spain

The search for improvements in the management and quality of public services seems to be a constant in all public administrations, and there is an ever-increasing use of management techniques and models from the business sector. The aim of this paper is to show which management systems are being used by Spanish local governments to improve their management in terms of economy, quality and the environment. Our analysis is based on a questionnaire sent to Spanish local governments about the tools they use and the factors that influence their implementation. The results show that more efforts are necessary to implement performance measurement and total quality management, but they also show some positive aspects, such as the usefulness of performance measurement and its application to decisions in those local governments that have implemented it.