scholarly journals Introduction: Intergenerational Transmissions of Infant Mortality using the Intermediate Data Structure (IDS)

2018 ◽  
Vol 7 ◽  
pp. 1-10
Author(s):  
Luciana Quaranta ◽  
Hilde Leikny Sommerseth
Keyword(s):  
Data Structure ◽  
Infant Mortality ◽  
Empirical Studies ◽  
Special Issue ◽  
Maternal Line ◽  
Demographic Research ◽  
Intermediate Data ◽  
Current Article ◽  
Death Clustering ◽  
Intergenerational Transmissions

It has previously been shown that infant mortality clusters in a subset of families, a phenomenon which was observed in historical populations as well as contemporary developing countries. A transmission of death clustering across generations has also been shown in Belgium, but it is unknown whether such effects are specific to the studied context or are also found in other areas. The current article introduces a special issue devoted to analysing intergenerational transmissions of infant mortality across the maternal line in Belgium, the Netherlands, northern and southern Sweden, and Norway. Taking advantage of the Intermediate Data Structure (IDS), the five empirical studies created datasets for analysis and ran statistical models using exactly the same programs, which are also published within the special issue. These works are the first set of studies using the IDS on several databases for comparative purposes. Consistent results across the studied contexts were shown: transfers of infant mortality across the maternal line were seen in all five areas. In addition, the works have shown that there are large advantages of adopting the IDS for historical demographic research. The structure has in fact allowed researchers to conduct studies which were fully comparable, transparent and replicable.

scholarly journals Program for Studying Intergenerational Transmissions in Infant Mortality Using the Intermediate Data Structure (IDS)

2018 ◽  
Vol 7 ◽  
pp. 11-27
Author(s):  
Luciana Quaranta
Keyword(s):  
Data Structure ◽  
Infant Mortality ◽  
Demographic Data ◽  
Intergenerational Transfers ◽  
Infant Deaths ◽  
Intermediate Data ◽  
Different Populations ◽  
Social And Cultural Factors ◽  
Death Clustering ◽  
Intergenerational Transmissions

Studies conducted in historical populations and developing countries have evidenced the existence of clustering in infant deaths, which could be related to genetic inheritance and/or to social and cultural factors such as education, socioeconomic status or parental care. A transmission of death clustering has also been found across generations. One way of expanding the knowledge on intergenerational transfers in infant mortality is by conducting comparable studies across different populations. The Intermediate Data Structure (IDS) was developed as a strategy aimed at simplifying the collecting, storing and sharing of historical demographic data. The current work presents two programs that were developed in STATA to construct a dataset for analysis and run statistical models to study intergenerational transfers in infant mortality using databases that are stored in the IDS. The programs use information stored in the IDS tables and after elaborating such information produce Excel files with results. They can be used with any longitudinal database constructed from church books, civil registers, or population registers.

scholarly journals Intergenerational Transfers in Infant Mortality in Southern Sweden, 1740-1968

2018 ◽  
Vol 7 ◽  
pp. 88-105
Author(s):  
Luciana Quaranta
Keyword(s):  
Socioeconomic Status ◽  
Infant Mortality ◽  
Southern Sweden ◽  
Infant Deaths ◽  
Intermediate Data ◽  
Rural Parishes ◽  
Social And Cultural Factors ◽  
Death Clustering ◽  
Early Life Exposures ◽  
Intergenerational Transmissions

Studies conducted in historical populations and developing countries have evidenced the existence of clustering in infant deaths, which could be related to genetic inheritance, early life exposures, and/or to social and cultural factors such as education, socioeconomic status or parental care. A transmission of death clustering has also been found across generations. This paper is one of five studies that analyses intergenerational transmissions in infant mortality by using a common program to create the dataset for analysis and run the statistical models with data stored in the Intermediate Data Structure. The results of this study show that in five rural parishes in Scania, the southernmost province of Sweden, during the years 1740-1968 infant mortality was transmitted across generations. Children whose maternal grandmothers experienced two or more infant deaths had higher risks of dying in infancy. The results remained consistent when restricting the sample only to cases where the grandmother had been observed for her entire reproductive history or when controlling for socioeconomic status. When running sex specific models, significant effects of the number of infant deaths of the grandmother were observed for girls but not for boys.

scholarly journals Intergenerational Transfers of Infant Mortality in 19th-Century Northern Sweden

2018 ◽  
Vol 7 ◽  
pp. 106-122
Author(s):  
Göran Broström ◽  
Sören Edvinsson ◽  
Elisabeth Engberg
Keyword(s):  
Infant Mortality ◽  
Infant Death ◽  
Comparative Research ◽  
Demographic Data ◽  
Intergenerational Transfers ◽  
Intermediate Data ◽  
International Comparative ◽  
Further Development ◽  
Analytical Power ◽  
Intergenerational Transmissions

This contribution is part of an international comparative initiative with the aim to assess the analytical power of the Intermediate Data Structure (IDS) in a study of possible intergenerational transmissions of death in infancy. An evaluation of the data in applied research will be useful for further development of the IDS structure and for its future use in comparative research. An additional methodological aim for this part of the study is to evaluate and compare different models for statistical analysis of intergenerational transfers. The analysis is based on a cohort of mothers born 1826-1854, whose experiences of infant mortality are compared to the ones of the previous generation, the grandmothers. Data are collected from Swedish parish records, available in the database POPUM at the Demographic Data Base in Umeå. The analysis shows a clear association between infant mortality among mothers and grandmothers. The probability of an infant death for a woman is increased if her mother also had experienced an infant death. Having tested for different approaches of analysis, we found that simple models with few restrictive assumptions gave similar results as more complicated models. Since it is easy to feel confident in the models with the weakest assumptions, we argue that such models are preferred for this type of analysis.

scholarly journals STATA Programs for Using the Intermediate Data Structure (IDS) to Construct Files for Statistical Analysis

2016 ◽  
Vol 3 ◽  
pp. 1-19
Author(s):  
Luciana Quaranta
Keyword(s):  
Data Structure ◽  
Statistical Analysis ◽  
Open Access ◽  
Demographic Data ◽  
Intermediate Data ◽  
Common Structure ◽  
Current Article ◽  
Using Data ◽  
New Variables ◽  
Extract Information

The Intermediate Data Structure (IDS) provides a common structure for storing and sharing historical demographic data. The structure also facilitates the construction of different open-access software to extract information from these tables and construct new variables. The article Using the Intermediate Data Structure (IDS) to Construct Files for Analysis (Quaranta 2015) presented a series of concepts and programs that allow the user to construct a rectangular episodes file for longitudinal statistical analysis using data stored in the IDS. The current article discusses, in detail, each of these programs, describing their technicalities, structure and syntax, and also explaining how they can be used.

scholarly journals Reflections on the Use of the Intermediate Data Structure (IDS) in Historical Demographic Research

2021 ◽  
Vol 10 ◽  
pp. 76-80
Author(s):  
Luciana Quaranta
Keyword(s):  
Data Structure ◽  
Demographic Data ◽  
Demographic Research ◽  
Intermediate Data ◽  
Micro Level

The Intermediate Data Structure (IDS) was developed as a strategy aimed at standardizing the dissemination of micro-level historical demographic data. The structure provides a common and clear data strategy which facilitates studies that consider several databases, and the development and exchange of software. Based on my own experiences from working with the IDS, in this article I provide reflections on the use of IDS to create datasets for analysis and to conduct comparative demographic research.

scholarly journals The Intergenerational Transfer of Infant Mortality in Northern Norway during the 19th and Early 20th Centuries

2018 ◽  
Vol 7 ◽  
pp. 69-87 ◽  
Author(s):  
Hilde Leikny Sommerseth
Keyword(s):  
Infant Mortality ◽  
Intergenerational Transmission ◽  
Infant Death ◽  
Intergenerational Transfer ◽  
Maternal Line ◽  
Northern Norway ◽  
Infant Deaths ◽  
Intermediate Data ◽  
19Th And 20Th Century ◽  
Longitudinal Dataset

This paper is one of a series of five studying the intergenerational transfer of infant mortality down the maternal line. All five studies share the same theoretical and methodological design, and use data derived from a standard database format: the Intermediate Data Structure (IDS). The data for the research reported in this paper were derived from a longitudinal dataset covering the 19th and 20th century population of the province of Troms in Northern Norway. Our results suggest that there was an element of intergenerational transmission in women’s risk of experiencing an infant death; the children of a woman whose mother had had a high number of infant deaths also had a greater risk of dying before their first birthday. The risk of an infant death occurring among the children of daughters from such ‘high risk’ families was at least 30 per cent higher than that amongst infants born to the daughters of mothers who had experienced zero infant deaths.

scholarly journals Historical Databases Now and in the Future

2021 ◽  
Vol 10 ◽  
pp. 9-12
Author(s):  
Kris Inwood ◽  
Hamish Maxwell-Stewart
Keyword(s):  
Data Structure ◽  
The Netherlands ◽  
Longitudinal Data ◽  
Practical Implementation ◽  
High Quality ◽  
Rule Based ◽  
Intermediate Data ◽  
The Future ◽  
Historical Databases ◽  
Historical Sample

Kees Mandemakers has enriched historical databases in the Netherlands and internationally through the development of the Historical Sample of the Netherlands, the Intermediate Data Structure, a practical implementation of rule-based record linking (LINKS) and personal encouragement of high quality longitudinal data in a number of countries.

scholarly journals Introduction to special issue: an exploration of child and youth care pedagogy and curriculum

2021 ◽  
Author(s):  
Johanne Jean-Pierre ◽  
Sandrina de Finney ◽  
Natasha Blanchet-Cohen
Keyword(s):  
Postsecondary Education ◽  
Social Services ◽  
Situated Learning ◽  
Empirical Studies ◽  
Youth Care ◽  
Future Research ◽  
Youth Work ◽  
Preservice Education ◽  
Special Issue ◽  
Child And Youth Care

This special issue aims to explore Canadian pedagogical and curricular practices in child and youth care and youth work preservice education with an emphasis on empirical and applied studies that centre students’ perspectives of learning. The issue includes a theoretical reflection and empirical studies with students, educators, and practitioners from a range of postsecondary programs in Quebec, Ontario, Alberta, and British Columbia. The empirical articles use various methodologies to explore pedagogical and curricular approaches, including Indigenous land- and water-based pedagogies, ethical settler frontline and teaching practices, the pedagogy of the lightning talk, novel-based pedagogy, situated learning, suicide prevention education, and simulation-based teaching. These advance our understanding of accountability and commitment to Indigenous, decolonial, critical, experiential, and participatory praxis in child and youth care postsecondary education. In expanding the state of knowledge about teaching and learning in child and youth care, we also aspire to validate interdisciplinary ways of learning and knowing, and to spark interest in future research that recognizes the need for education to be ethical, critically engaged, creatively experiential, and deeply culturally and environmentally relevant. Keywords: child and youth care (CYC), youth work, human/social services, pedagogy, curriculum, higher education, praxis, preservice education

Implementing Web 2.0 tools in organisations

2014 ◽  
Vol 21 (1) ◽  
pp. 2-5 ◽  
Author(s):  
Gavin James Baxter
Keyword(s):  
Communities Of Practice ◽  
Web 2.0 ◽  
Empirical Studies ◽  
Work Place ◽  
Special Issue ◽  
Web 2.0 Technologies ◽  
Web 2.0 Tools ◽  
Content Type ◽  
Organisational Factors ◽  
The Impact

Purpose – This special issue aims to increase the awareness of the organisational factors that enterprises must reflect on and address when introducing Web 2.0 technologies into their organisations. In contrast to empirical studies that review the impact of Web 2.0 technologies in organisations in terms of how they might support knowledge sharing or communities of practice, this special issue intends to identify the salient criteria that management practitioners must address to assist in the implementation of Web 2.0 technologies in the work place. Design/methodology/approach – This special issue aims to increase the awareness of the organisational factors that enterprises must reflect on and address when introducing Web 2.0 technologies into their organisations. In contrast to empirical studies that review the impact of Web 2.0 technologies in organisations in terms of how they might support knowledge sharing or communities of practice, this special issue intends to identify the salient criteria that management practitioners must address to assist in the implementation of Web 2.0 technologies in the work place. Findings – One of the principal findings that have emerged from this special issue is that it indicates the importance of reviewing social and cultural factors in organisations when introducing Web 2.0 technologies in the work place. In addition to assessing technical issues that might impact on the implementation of Web 2.0 technologies in organisations this special issue also explores subject matters such as the dilemma of whether a top-down or a bottom-up approach is more effective towards engaging staff in the adoption of Web 2.0 tools at work. Originality/value – The research presented in this special issue provides an important academic contribution towards an area that is, at present, under researched namely, whether there is a structured approach that can be universally applied by organisations when internally implementing Web 2.0 technologies into their work place.

Suffix Tree Constructing Algorithm for Datasets with Discrete Contents

2015 ◽  
Vol 733 ◽  
pp. 867-870
Author(s):  
Zhen Zhong Jin ◽  
Zheng Huang ◽  
Hua Zhang
Keyword(s):  
Data Structure ◽  
Sensor Network ◽  
Association Analysis ◽  
Data Structures ◽  
Suffix Tree ◽  
Analysis Data ◽  
Large Datasets ◽  
Intermediate Data ◽  
Input Strings

The suffix tree is a useful data structure constructed for indexing strings. However, when it comes to large datasets of discrete contents, most existing algorithms become very inefficient. Discrete datasets are need to be indexed in many fields like record analysis, data analyze in sensor network, association analysis etc. This paper presents an algorithm, STD, which stands for Suffix Tree for Discrete contents, that performs very efficiently with discrete input datasets. It imports several wonderful intermediate data structures for discrete strings; we also take care of the situation that the discrete input strings have similar characteristics. Moreover, STD keeps the advantages of existing implementations which are for successive input strings. Experiments were taken to evaluate the performance and shown that the method works well.

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