Identifying femicide locally and globally: Understanding the utility and accessibility of sex/gender-related motives and indicators

2020 ◽  
pp. 001139212094635
Author(s):  
Myrna Dawson ◽  
Michelle Carrigan
Keyword(s):  
Data Collection ◽  
Distinct Type ◽  
Data Sources ◽  
Female Victim ◽  
The Past ◽  
International Attention ◽  
Women And Girls ◽  
Primary Focus ◽  
Male Perpetrator ◽  
Victim Gender

Femicide, the gender-related killing of women and girls, has received an unprecedented rise in international attention in the past decade, prompting increased discussions about how to define and measure femicide. Following a review of definitions and indicators, this article examines the utility of numerous sex/gender-related motives and indicators (SGRMIs) for distinguishing femicide from other homicides as well as the accessibility of these indicators in data sources typically accessed by social science researchers. Specifically, using a comprehensive database whose primary focus is femicide, the presence of SGRMIs in male-perpetrator/female-victim homicide – those killings most closely aligned with the concept of femicide – is compared to other perpetrator–victim gender combinations. Results show that multiple SGRMIs are more common in male-perpetrator/female-victim killings than other homicides, meaning they are useful for distinguishing femicide as a distinct type of violence. However, accessibility to information is weak with high proportions of missing data. Implications of these findings for prevention are discussed, including how data biases may be putting the lives of women and girls at risk and the need to emphasize prevention as the priority for data collection rather than administrative needs of governments.

SIMBOLISASI DALAM NOVEL SANG ALKEMIS KARYA PAULO QUELHO

2019 ◽  
Vol 7 (4) ◽  
pp. 79
Author(s):  
Endang Maruti
Keyword(s):  
Content Analysis ◽  
Data Collection ◽  
Old Age ◽  
Qualitative Approach ◽  
Data Sources ◽  
The Novel ◽  
Note Taking ◽  
Literature Study ◽  
Collection Method ◽  
Data Collection Method

The research aims to uncover the symbols in the novel The Alchemist and to gain knowledge about the moral teachings in the symbol. This research is descriptive qualitative approach. Data sources in this study are words, phrases or sentences in the novel Alchemist. Data collection method is a literature study method with note taking technique. Data were analyzed using description and content analysis methods. The results showed that the novel The Alchemist contained many symbols. These symbols include: (1) wise parents, who symbolize both negative and positive things. From his appearance, parents can symbolize something bad, but behind his old age he symbolizes a knowledge that is very much and wise; (2) stones that symbolize something hard, not easily broken, and can provide clues to something; and (3) deserts or deserts which can be interpreted as symbols of drought, aridity, unattractiveness, emptiness, despair, determination for ignorance, and also as symbols of devotion.  

What’s Good for George Sánchez Is Good for Boyle Heights: Regenerative Scholarship, Urban Racism, Gentrification, and East LA Interchange

2017 ◽  
Vol 4 (2) ◽  
Author(s):  
Gilbert Estrada
Keyword(s):  
Working Class ◽  
Urban Pollution ◽  
Metropolitan Regions ◽  
The Past ◽  
Award Winning ◽  
Boyle Heights ◽  
Good For ◽  
Primary Focus ◽  
Deed Restrictions ◽  
Class Community

The inclusive ideals of George Sánchez have helped shape a new generation of academics who have promoted connections with nonacademic organizations. This article discusses how Sánchez has continued these efforts through his pivotal contributions to an award-winning documentary focusing on the multiethnic, working-class community of Boyle Heights: Betsy Kalin’s film East LA Interchange (2015). East LA Interchange’s greatest contribution to the generative scholarship Sánchez emphasizes is its critical analysis of modern urban problems, utilizing history as a tool for social change. The story of Boyle Heights is not just a history of a single working-class community with a diverse culture. It is also a tale of a neighborhood trying to solve real world problems such as gentrification, unaffordable housing, community displacement, and urban pollution. The film portrays these difficulties in the present while showing that they originated decades ago. Sánchez and East LA Interchange are at their best when they provide the historical contexts of contemporary problems, emphasizing that history is not only the study of the past. Rather, history is the unending dialogue between the past, present, and future, and any significant discourse on today’s urban ills must be rooted in the past. For students and others interested in the diverse communities common in many US metropolitan regions, East LA Interchange has much to offer regarding the issues of immigration, redlining, deed restrictions, political activism, freeway construction, living with racially and ethnically diverse community members, and the nationwide problem of gentrification. These themes, especially gentrification, are the primary focus of this article.

Platform for Analysing and Encouraging Student Activity on Contest and E-learning Systems

2018 ◽  
Vol 12 ◽  
pp. 85-98
Author(s):  
Bojan Kostadinov ◽  
Mile Jovanov ◽  
Emil STANKOV
Keyword(s):  
Machine Learning ◽  
Data Collection ◽  
Educational Policy ◽  
Learning Systems ◽  
Data Sources ◽  
Or Education ◽  
Student Activity ◽  
The World ◽  
E Learning ◽  
Analyse Data

Data collection and machine learning are changing the world. Whether it is medicine, sports or education, companies and institutions are investing a lot of time and money in systems that gather, process and analyse data. Likewise, to improve competitiveness, a lot of countries are making changes to their educational policy by supporting STEM disciplines. Therefore, it’s important to put effort into using various data sources to help students succeed in STEM. In this paper, we present a platform that can analyse student’s activity on various contest and e-learning systems, combine and process the data, and then present it in various ways that are easy to understand. This in turn enables teachers and organizers to recognize talented and hardworking students, identify issues, and/or motivate students to practice and work on areas where they’re weaker.

The past, present and future of food consumption databases

2012 ◽  
Vol 153 (43) ◽  
pp. 1692-1700
Author(s):  
Viktória Szűcs ◽  
Erzsébet Szabó ◽  
Diána Bánáti
Keyword(s):  
Data Collection ◽  
Food Consumption ◽  
Age Groups ◽  
Collection Method ◽  
The Past ◽  
Consumption Data ◽  
Food Consumption Data ◽  
International Projects ◽  
Collection Methods ◽  
The Eu

Results of the food consumption surveys are utilized in many areas, such as for example risk assessment, cognition of consumer trends, health education and planning of prevention projects. Standardization of national consumption data for international comparison is an important task. The intention work began in the 1970s. Because of the widespread utilization of food consumption data, many international projects have been done with the aim of their harmonization. The present study shows data collection methods for groups of the food consumption data, their utilization, furthermore, the stations of the international harmonization works in details. The authors underline that for the application of the food consumption data on the international level, it is crucial to harmonize the surveys’ parameters (e.g. time of data collection, method, number of participants, number of the analysed days and the age groups). For this purpose the efforts of the EU menu project, started in 2012, are promising. Orv. Hetil., 2012, 153, 1692–1700.

Fenny Roshayanti: A Biography of Science Educator for Our Time

2019 ◽  
Author(s):  
Adib Rifqi Setiawan
Keyword(s):  
Sampling Technique ◽  
Science Educator ◽  
Data Sources ◽  
Negative Consequences ◽  
Academic Advisor ◽  
External Audit ◽  
Narrative Approaches ◽  
The Past ◽  
Science Technology ◽  
And Mathematics

STEAM is an acronym for Science, Technology, Engineering, Art, Mathematics. STEAM defined as the integration of science, technology, engineering, art, and mathematics into a new cross-disciplinary subject in schools. The concept of integrating subjects in Indonesian schools, generally is not new and has not been very successful in the past. Some people consider STEAM as an opportunity while others view it as having problems. Fenny Roshayanti is science educator and researcher that consider STEAM as an opportunity. She has involved the study of STEAM, as an author, educator, academic advisor, and seminar speaker. This article examines what it has been and continues work from Fenny Roshayanti in the science education. Our exploration uses qualitative methods of narrative approaches in the form of biographical studies. Participants as data sources were selected using a purposive sampling technique which was collected based on retrospective interview and naturalistic observation. Data's validity, reliability, and objectivity checked by using external audit techniques. This work explores the powerful of female’s personal style in developing a form of social influence based on her forms of capital as well as address the positive and negative consequences that may follow while implement and research STEAM in teaching classroom.

The Changing Landscape of Asian Entrepreneurship, Minority Banks, and Community Development

2011 ◽  
Vol 9 (1-2) ◽  
pp. 78-90
Author(s):  
Tarry Hum
Keyword(s):  
New York ◽  
New York City ◽  
Data Collection ◽  
Community Development ◽  
Real Estate ◽  
York City ◽  
Commercial Real Estate ◽  
Data Sources ◽  
Real Estate Development ◽  
Public Data

This policy brief examines minority banks and their lending practices in New York City. By synthesizing various public data sources, this policy brief finds that Asian banks now make up a majority of minority banks, and their loans are concentrated in commercial real estate development. This brief underscores the need for improved data collection and access to research minority banks and the need to improve their contributions to equitable community development and sustainability.

Integration of statistical and administrative agricultural data from Namibia

2021 ◽  
pp. 1-22
Author(s):  
Emily Berg ◽  
Johgho Im ◽  
Zhengyuan Zhu ◽  
Colin Lewis-Beck ◽  
Jie Li
Keyword(s):  
Measurement Error ◽  
Data Collection ◽  
Administrative Data ◽  
Statistical Data ◽  
Data Sources ◽  
Extension Programs ◽  
Multiple Data ◽  
Administrative Agencies ◽  
Crop Area ◽  
Using Data

Statistical and administrative agencies often collect information on related parameters. Discrepancies between estimates from distinct data sources can arise due to differences in definitions, reference periods, and data collection protocols. Integrating statistical data with administrative data is appealing for saving data collection costs, reducing respondent burden, and improving the coherence of estimates produced by statistical and administrative agencies. Model based techniques, such as small area estimation and measurement error models, for combining multiple data sources have benefits of transparency, reproducibility, and the ability to provide an estimated uncertainty. Issues associated with integrating statistical data with administrative data are discussed in the context of data from Namibia. The national statistical agency in Namibia produces estimates of crop area using data from probability samples. Simultaneously, the Namibia Ministry of Agriculture, Water, and Forestry obtains crop area estimates through extension programs. We illustrate the use of a structural measurement error model for the purpose of synthesizing the administrative and survey data to form a unified estimate of crop area. Limitations on the available data preclude us from conducting a genuine, thorough application. Nonetheless, our illustration of methodology holds potential use for a general practitioner.

scholarly journals Introduction to the Special Issue on New Longitudinal Data for Retirement Analysis and Policy

2021 ◽  
pp. 1-5
Author(s):  
Marco Angrisani ◽  
Anya Samek ◽  
Arie Kapteyn
Keyword(s):  
Big Data ◽  
Academic Research ◽  
Cost Effective ◽  
Research Data ◽  
Data Sources ◽  
Special Issue ◽  
Administrative Records ◽  
The Past ◽  
Survey Questionnaires ◽  
Internet Panels

The number of data sources available for academic research on retirement economics and policy has increased rapidly in the past two decades. Data quality and comparability across studies have also improved considerably, with survey questionnaires progressively converging towards common ways of eliciting the same measurable concepts. Probability-based Internet panels have become a more accepted and recognized tool to obtain research data, allowing for fast, flexible, and cost-effective data collection compared to more traditional modes such as in-person and phone interviews. In an era of big data, academic research has also increasingly been able to access administrative records (e.g., Kostøl and Mogstad, 2014; Cesarini et al., 2016), private-sector financial records (e.g., Gelman et al., 2014), and administrative data married with surveys (Ameriks et al., 2020), to answer questions that could not be successfully tackled otherwise.

The Undergraduate Marketing Research Course: Two Decades of Change

2020 ◽  
pp. 027347532096050
Author(s):  
Eileen Bridges
Keyword(s):  
Data Collection ◽  
Data Analytics ◽  
New Technology ◽  
Marketing Research ◽  
Customer Data ◽  
Critical Gap ◽  
The Past ◽  
Data Collection And Analysis ◽  
Marketing Data ◽  
Observational Techniques

This article looks back over the past two decades to describe how teaching of undergraduate marketing research has (or has not) changed. Sweeping changes in technology and society have certainly affected how marketing research is designed and implemented—but how has this affected teaching of this important topic? Although the purpose of marketing research is still to better understand target customer needs, the tools are different now: customer data are typically collected using technology-based interfaces in place of such instruments as mailed, telephone, or in-person surveys. Observational techniques collect more data electronically rather than requiring a human recorder. Similarly, sampling has changed: sample frames are no longer widely used. Many of these changes are not yet fully discussed in marketing research courses. On the other hand, there is increasing interest in and availability of courses and programs in marketing data analytics, which teach specialized skills related to analysis and interpretation of electronic databases. Perhaps even more importantly, new technology-based tools permit greater automation of data collection and analysis, and presentation of findings. A critical gap is identified in this article; specifically, effort is needed to better integrate the perspectives of data collection and data analysis given current research conditions.

scholarly journals Remote measurement methods for 3-D modeling purposes using BAE Systems’ Software

2015 ◽  
Vol 64 (1) ◽  
pp. 113-124 ◽  
Author(s):  
Stewart Walker ◽  
Arleta Pietrzak
Keyword(s):  
Feature Extraction ◽  
Data Collection ◽  
Image Data ◽  
Data Sources ◽  
Remote Measurement ◽  
Software Packages ◽  
Systems Software ◽  
Digital Elevation ◽  
Sensor Models ◽  
Elevation Model

Abstract Efficient, accurate data collection from imagery is the key to an economical generation of useful geospatial products. Incremental developments of traditional geospatial data collection and the arrival of new image data sources cause new software packages to be created and existing ones to be adjusted to enable such data to be processed. In the past, BAE Systems’ digital photogrammetric workstation, SOCET SET®, met fin de siècle expectations in data processing and feature extraction. Its successor, SOCET GXP®, addresses today’s photogrammetric requirements and new data sources. SOCET GXP is an advanced workstation for mapping and photogrammetric tasks, with automated functionality for triangulation, Digital Elevation Model (DEM) extraction, orthorectification and mosaicking, feature extraction and creation of 3-D models with texturing. BAE Systems continues to add sensor models to accommodate new image sources, in response to customer demand. New capabilities added in the latest version of SOCET GXP facilitate modeling, visualization and analysis of 3-D features.

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