Informal Work in Numbers

2021 ◽  
pp. 54-84
Author(s):  
Calla Hummel
Keyword(s):  
Survey Data ◽  
Learning Algorithm ◽  
Data Set ◽  
La Paz ◽  
Informal Work ◽  
Informal Workers ◽  
The World ◽  
El Alto ◽  
Quantitative Analyses ◽  
The Comparative Study

Chapter 3 introduces survey data from around the world and establishes broad trends in informal work and civil society participation. Descriptive statistics show that informal workers organize in nearly every country in the sample and extensively organize in many. I estimate a data set of informal workers using survey data from the Latin American Public Opinion Project (LAPOP) and a machine learning algorithm. Regressions on the estimated data set, a data set of known informal workers, and a data set of self-employed workers suggest that informal workers are more likely to organize in low-capacity countries. The chapter then turns to survey data from the 42 countries around the world in the Comparative Study of Electoral Systems (CSES) database and find similar patterns between informal work, state capacity, and political participation. The quantitative analyses point to cases to examine in more depth. Two cities in the La Paz department of Bolivia, La Paz and El Alto were selected, to see how informal workers interact with officials with lower enforcement capacity, as well as two districts in São Paulo, Brazil, to understand how informal workers interact with officials with higher enforcement capacity.

Plural marking patterns of nouns and their associates in the world’s languages

2020 ◽  
Vol 44 (1) ◽  
pp. 231-269
Author(s):  
Rong Chen
Keyword(s):  
Machine Learning ◽  
Logistic Regression ◽  
Learning Algorithm ◽  
Machine Learning Algorithm ◽  
Data Set ◽  
Component Structure ◽  
Universal Distribution ◽  
Two Component ◽  
The World ◽  
Plural Marking

Abstract Plural marking reaches most corners of languages. When a noun occurs with another linguistic element, which is called associate in this paper, plural marking on the two-component structure has four logically possible patterns: doubly unmarked, noun-marked, associate-marked and doubly marked. These four patterns do not distribute homogeneously in the world’s languages, because they are motivated by two competing motivations iconicity and economy. Some patterns are preferred over others, and this preference is consistently found in languages across the world. In other words, there exists a universal distribution of the four plural marking patterns. Furthermore, holding the view that plural marking on associates expresses plurality of nouns, I propose a hypothetical universal which uses the number of pluralized associates to predict plural marking on nouns. A data set collected from a sample of 100 languages is used to test the hypothetical universal, by employing the machine learning algorithm logistic regression.

scholarly journals Informality in action: A relational look at informal work

2020 ◽  
Vol 61 (2-3) ◽  
pp. 91-100
Author(s):  
Byoung-Hoon Lee ◽  
Sarah Swider ◽  
Chris Tilly
Keyword(s):  
Trade Unions ◽  
The State ◽  
Informal Employment ◽  
Special Issue ◽  
Informal Work ◽  
Informal Workers ◽  
The World ◽  
State Organizations

We conceptualize informal work in relational terms, examining informality through the relations and interactions between and among a set of actors: capitalists, the state, organizations of informal workers, traditional trade unions, individual informal workers. We consider the leading explanations of the persistent growth of informal employment around the world, suggest that three such explanations (survivalist, structuralist, and “disembedded”) are most compelling, and reframe them in terms of key actors and their relations. Finally, we take a closer act at the agency and strategies of each of those key actors. Throughout, we illustrate with examples from the articles in this special issue.

scholarly journals The Effects of Segmentation Techniques in Digital Image Based Identification of Ethiopian Paper Currency

2018 ◽  
Vol 12 (3) ◽  
pp. 1106
Author(s):  
Solomon Wondaya Guangul
Keyword(s):  
Comparative Study ◽  
Commercial Bank ◽  
Digital Image ◽  
Data Set ◽  
Learning Function ◽  
Paper Currency ◽  
The World ◽  
Classification Images ◽  
The Comparative Study

Paper and coin are the two most common currencies in all over the world. In Ethiopia also paper and coin currency are used for medium of exchange. This paper presents the comparative study of segmentation techniques towards Ethiopian paper currency classification. Otsu, FCM and K-means segmentation techniques are considered for this study and BPNN is used for classification of currencies. For the classification, images are collected from <em>commercial bank of Ethiopia</em> and <em>Dashen Bank</em>; for our data set, a total of 500 images samples were collected. From these images, 91.2% accuracy is achieved when Otsu segmentation is used on BPNN with TANH learning function.

Why Do Informal Workers Organize?

2021 ◽  
pp. 1-32
Author(s):  
Calla Hummel
Keyword(s):  
Civil Society ◽  
Collective Action ◽  
Capacity Constraints ◽  
Grassroots Activism ◽  
Street Vendor ◽  
La Paz ◽  
Informal Work ◽  
Street Vendors ◽  
Informal Workers

Chapter 1 introduces the puzzle of organized street vendors with the stories of two street vendors: Rosa, the founding leader of a champagne ladies’ union in La Paz, and Renato, who works as an unorganized electronics vendor in São Paulo. The chapter then situates the puzzle within existing research on collective action, civil society, informal work, and state capacity. According to most scholars, informal workers do not organize, which makes Rosa’s union and its affiliation with a national street vendor confederation puzzling. The chapter outlines an explanation for why informal workers organize, assesses alternative explanations around grassroots activism and clientelism, and presents the research design for the book. Specifically, it finds that officials encourage informal workers to organize self-regulating groups. The chapter argues that this is most likely to happen where officials have governance goals and career ambitions but face capacity constraints and where informal workers have the know-how to organize self-regulating groups.

Rotational Characteristics of the Green Solar Corona: 1947-1991

1994 ◽  
Vol 144 ◽  
pp. 139-141 ◽  
Author(s):  
J. Rybák ◽  
V. Rušin ◽  
M. Rybanský
Keyword(s):  
Solar Corona ◽  
World Wide ◽  
Rotation Period ◽  
Original Data ◽  
Coronal Emission ◽  
Time Intervals ◽  
Data Set ◽  
The World ◽  
Coronal Emission Line ◽  
Homogeneous Data

AbstractFe XIV 530.3 nm coronal emission line observations have been used for the estimation of the green solar corona rotation. A homogeneous data set, created from measurements of the world-wide coronagraphic network, has been examined with a help of correlation analysis to reveal the averaged synodic rotation period as a function of latitude and time over the epoch from 1947 to 1991.The values of the synodic rotation period obtained for this epoch for the whole range of latitudes and a latitude band ±30° are 27.52±0.12 days and 26.95±0.21 days, resp. A differential rotation of green solar corona, with local period maxima around ±60° and minimum of the rotation period at the equator, was confirmed. No clear cyclic variation of the rotation has been found for examinated epoch but some monotonic trends for some time intervals are presented.A detailed investigation of the original data and their correlation functions has shown that an existence of sufficiently reliable tracers is not evident for the whole set of examinated data. This should be taken into account in future more precise estimations of the green corona rotation period.

Feature extraction and prediction of Dengue Outbreaks

2020 ◽  
pp. 216-222
Author(s):  
Kunal Parikh ◽  
Tanvi Makadia ◽  
Harshil Patel
Keyword(s):  
Public Health ◽  
Machine Learning ◽  
Developing Countries ◽  
Feature Extraction ◽  
Predictive Analytics ◽  
Learning Algorithm ◽  
Machine Learning Algorithm ◽  
Health Concerns ◽  
The World ◽  
Dengue Outbreaks

Dengue is unquestionably one of the biggest health concerns in India and for many other developing countries. Unfortunately, many people have lost their lives because of it. Every year, approximately 390 million dengue infections occur around the world among which 500,000 people are seriously infected and 25,000 people have died annually. Many factors could cause dengue such as temperature, humidity, precipitation, inadequate public health, and many others. In this paper, we are proposing a method to perform predictive analytics on dengue’s dataset using KNN: a machine-learning algorithm. This analysis would help in the prediction of future cases and we could save the lives of many.

Economic Impact of COVID-19 Pandemic: Who are the Big Sufferers?

2020 ◽  
pp. 320-326
Keyword(s):  
Informal Economy ◽  
World Economy ◽  
Mitigation Measures ◽  
Economic Activities ◽  
Informal Workers ◽  
Indian Economy ◽  
The World ◽  
Daily Wage ◽  
Liberalisation Policy ◽  
The International Monetary Fund

The COVID-19 pandemic identified in Wuhan, China in December 2019, has spread almost to all the countries of the world. The mitigation measures imposed by most of the nations to prevent the spread of COVID-19 have badly hit the global economic activities. As per the latest estimates, the world economy is predicted to decline by 5.2 percent, and world trade is expected to drop by 13-32 percent in 2020 due to the COVID-19 pandemic. In this way it has created havoc in the world economy and the Indian economy is no exception. The International Monetary Fund (IMF) has estimated the Indian GDP growth at 1.9 percent and showed the worst growth performance of India after the liberalisation policy of 1991. According to the World Bank, the Indian economy will contract by 3.2 percent in 2020-21. Daily wage labourers and other informal workers, particularly migrant labourers of economically poor states were the worst hit during the lockdown period and will continue to be adversely affected even after the lockdown was relaxed. The paper suggested multiple measures to support the Indian economic and financial support to all the families of the informal economy workers to tide over this crisis.

JUVENTUDE, TRABALHO INFORMAL E SAÚDE MENTAL

2020 ◽  
pp. 126-144
Author(s):  
Marina Batista Chaves Azevedo de Souza ◽  
Isabela Aparecida de Oliveira Lussi
Keyword(s):  
Mental Health ◽  
Young Adults ◽  
Young Adult ◽  
Informal Sector ◽  
Informal Work ◽  
Informal Workers

Estudos apontam que jovens podem exercer trabalhos informais por necessidade não por desejo pessoal, o que pode acarretar impactos negativos na saúde mental. O objetivo do artigo foi apontar abordagens, destacar problemáticas e realizar reflexões sobre juventude, trabalho informal e saúde mental, através do mapeamento de estudos científicos. Realizou-se uma revisão de escopo pelo modelo de Arksey e O’Malley para mapear/sintetizar os estudos. Foram encontrados 51 artigos com a expressão: "informal work" OR "informal workers" OR "informal sector" OR "informal job" OR informality AND "mental health" AND "young adult" OR "young adults" OR young OR youth e 2640 teses e dissertações. Após as exclusões das duplicações, ensaios teóricos, revisões, trabalhos indisponíveis e estudos em que os títulos e resumos não abordavam a temática central, analisou-se 6 artigos científicos e 3 dissertações na íntegra. Os estudos são de anos diversos, a maioria quantitativos e investigam associações entre trabalhos informais/precários/desemprego e sintomas psiquiátricos. Questões geracionais não foram consideradas indicadoras de peculiaridades sobre o assunto nos artigos, mas duas dissertações trouxeram essa discussão. Foram inexistentes artigos que priorizam percepções do trabalhador sobre sua condição de trabalho/saúde, todavia, uma das dissertações analisadas abordou as condições sociais e o trabalho precário como sugestivos a problemas de saúde. Indica-se como necessário realizar reflexões que articulem saúde mental a condições políticas/socioeconômicas, considerando o trabalho como determinante de saúde/doença e a juventude como detentora de idiossincrasias que influenciam nas reflexões sobre o tema.

The Indian Yearbook of Comparative Law 2016

2018 ◽  
Keyword(s):  
Environmental Law ◽  
Comparative Law ◽  
Public Law ◽  
Corporate Law ◽  
Legal Issues ◽  
Reading Materials ◽  
The World ◽  
Almost All ◽  
The Comparative Study ◽  
Day By Day

The contributions, by eminent scholars, included in The Indian Yearbook of Comparative Law 2016 discuss the discipline of comparative law in India and is of immense importance for legal scholarship around the globe. Unlike the West, that has covered almost all aspects of law from private to public law matters of national, transnational, and international relevance, not much work has been done in the discipline of Comparative law in India. In view of the countries and people of the world coming closer day by day, the need for the comparative study of law is becoming a sine qua non for participation in almost all transactions among people living across the globe. The attempt made with this volume will not only meet the much-awaited need of having reading materials on comparative law, but will also create a forum for legal scholars around the world to express their views on different aspects of law in comparative perspective. The issues covered her range from comparative legal methods to comparison in different aspects of law in different countries, as well as transnational and international bodies such as European Union and the various bodies of the United Nations. The issues covered include corporate law, constitutional law, human rights, environmental law, globalization, democracy, privatization, and several other contemporary legal issues.

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