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A Study on the Laws and Policies Relating to Work-Family Balance (일-가정 균형과 관련된 법과 정책의 비교고찰)

  • Jeong, Young-Keum
    • Journal of Family Resource Management and Policy Review
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    • v.13 no.2
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    • pp.85-105
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    • 2009
  • The purpose of this study is to compare the laws and policies relating to work-family balance with foreign cases, and to analyse the problems in implementing those laws and policies. For these purpose, this study compares family leave policies, working hams policies, public care policies in other countries. And these laws in Korea are shown. This study also analyse the policies for work-family balance in labor policy, family policy, gender policy and saeromaji plan. The results are as follows; policies for work-family balance are limited to child care and family leave. Laws for family leave are various and proper. But implementing rate of policy goal is low and a few people can benefit by those laws and policies. So, wide-range policies for work-family balance which all the families can benefit are needed.

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Understanding of Mathematics Terms with Lexical Ambiguity

  • Hwang, Jihyun
    • Research in Mathematical Education
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    • v.24 no.2
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    • pp.69-82
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    • 2021
  • The purpose of this study is to explore how mathematics educators understand the terms having lexical ambiguity. Five terms with lexical ambiguity, leave, times, high, continuous, and convergent were selected based on literature review and recommendations of college calculus instructors. The participants consisted of four mathematics educators at a large Midwestern university. The qualitative data were collected from open-ended items in the survey. As a result of analysis, I provided participants' sentences with five terms showing their understanding of each term. The data analysis revealed that mathematics educators were not able to separate the meanings of the words such as leave and high when these words are frequently used in daily life, and the meanings in mathematics context are similar with that in daily context. Lexical ambiguity shown by mathematics educators can help mathematics teachers to understand the terms with lexical ambiguity and improve their instructions when those terms should be found in students' conversations.

Formas y Funciones Fáticas de Los Rituales de Saludo y Despedida en el Contexto Médico

  • Choi, Hong-Joo
    • Iberoamérica
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    • v.22 no.1
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    • pp.111-148
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    • 2020
  • One way for phatic communication to be linguistically realized involves ritual activities, such as greetings and leave-takings. These conventionalized acts in medical contexts can significantly influence both transactional and interpersonal goals. The analysis in this paper confirms that exchanging rituals such as greeting and leave-taking between doctors and patients is not a simple exchange of conventionalized linguistic symbols. In addition, the use of discursive strategies means that to determine whether an expression is phatic or not, it is necessary to analyze it from the multidimensional perspective. The phaticity is established based on the negotiation between the participants during the interaction. We have found that the interrogative form of greeting like "¿Qué tal?" (How are you?) becomes a versatile resource in the medical context. Thus, professionals need to be attentive to the discourse progress, because the phaticity of the interrogative greetings (illocutionary force) is linked, in the vast majority, with the reaction of the patients. Also, the data confirms that when participants coordinate closings, the exchange of turns lengthens and the intervention of various discursive strategies for phatic communion becomes more prominent.

Comparative Analysis of Low Fertility Response Policies (Focusing on Unstructured Data on Parental Leave and Child Allowance) (저출산 대응 정책 비교분석 (육아휴직과 아동수당의 비정형 데이터 중심으로))

  • Eun-Young Keum;Do-Hee Kim
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.5
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    • pp.769-778
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    • 2023
  • This study compared and analyzed parental leave and child allowance, two major policies among solutions to the current serious low fertility rate problem, using unstructured data, and sought future directions and implications for related response policies based on this. The collection keywords were "low fertility + parental leave" and "low fertility + child allowance", and data analysis was conducted in the following order: text frequency analysis, centrality analysis, network visualization, and CONCOR analysis. As a result of the analysis, first, parental leave was found to be a realistic and practical policy in response to low fertility rates, as data analysis showed more diverse and systematic discussions than child allowance. Second, in terms of child allowance, data analysis showed that there was a high level of information and interest in the cash grant benefit system, including child allowance, but there were no other unique features or active discussions. As a future improvement plan, both policies need to utilize the existing system. First, parental leave requires improvement in the working environment and blind spots in order to expand the system, and second, child allowance requires a change in the form of payment that deviates from the uniform and biased system. should be sought, and it was proposed to expand the target age.

First Order Difference-Based Error Variance Estimator in Nonparametric Regression with a Single Outlier

  • Park, Chun-Gun
    • Communications for Statistical Applications and Methods
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    • v.19 no.3
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    • pp.333-344
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    • 2012
  • We consider some statistical properties of the first order difference-based error variance estimator in nonparametric regression models with a single outlier. So far under an outlier(s) such difference-based estimators has been rarely discussed. We propose the first order difference-based estimator using the leave-one-out method to detect a single outlier and simulate the outlier detection in a nonparametric regression model with the single outlier. Moreover, the outlier detection works well. The results are promising even in nonparametric regression models with many outliers using some difference based estimators.

R&D Personnel Management for Higher Productivity (R&D 생산성 제고를 위한 인력관리방안)

  • 정진화
    • Journal of Technology Innovation
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    • v.2 no.1
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    • pp.191-218
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    • 1994
  • This paper aims to find out the R&D personnel management strategies which enhance the productivity of researchers. The R&D personnel management practices are examined focusing on career development and compensation scheme. As proxies for higher motivation and/or productivity, job satisfaction and propensity to leave of researchers are analyzed to evaluate the management practices. Using the survey data from researchers in the Korean automobile industry. this paper suggests the management strategies to raise job satisfaction and thus lower propensity to leave of R&D personnel.

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Study on the Influence of Child Birth Promotion Policy Due to postpartum care and Maternity Leave to Economical Activities in the Era of Convergence (융복합시대 산후조리와 육아휴직으로 인한 출산장려정책이 경제활동에 미치는 영향에 관한 연구)

  • Jang, Myung-Sook;Yang, Hae-Sool
    • Journal of Digital Convergence
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    • v.13 no.10
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    • pp.245-254
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    • 2015
  • This research aims to look into correlation between Korea's childbirth promotion policy caused from women's maternity leave and economic activity. For the purpose, 300 surveys were distributed to mothers using postnatal care centers located in Seoul. Listed postnatal care centers such as Babe Glory, Shinsegae, Happy, Miznomall and out of 260, 222 surveys were selected for the research. Several advanced studies regarding child birth promotion policy backed up by current government and related domestic and overseas documents were used as reference. Decisive factors including social insurance, tax, cost for child birth and rearing service, social culture were derived as trait elements for child birth promotion. Mentioned factors along with economic activity by childbearing women were used when setting up the research model and hypothesis. Relation with material leave was employed as parameter for this study of which purpose lies in empirical analysis and investigation.

German Family Policy in Gender Perspective (독일 가족정책의 현황과 젠더적 성격)

  • Lee, Jin-Sook
    • Korean Journal of Social Welfare
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    • v.58 no.4
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    • pp.93-118
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    • 2006
  • Family policy focusing on family-work linkage is characterized by family policy measures which are made up benefits in cash, leave policies and social infrastructure for child care. This study aims to identify gender ideology of german family policy. Based on diverse indicators, this study is tried to analyze characteristics of benefits in cash, leave policies and social infrastructure for child care in Germany. And then, as the results of policy - implementation the fertility rate and women employment rate are presented. In Germany, family policies have been reformed in order to better support working parents. In spite of diverse endeavors, the results of this study show that german family policy has limits to family-work linkage. Family benefits in cash has had no effect on increase in fertility and women employment because of its traditional gender ideology. Leave policy and social infrastructure have to be improved for better provision of public chid care.

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Applicability study on urban flooding risk criteria estimation algorithm using cross-validation and SVM (교차검증과 SVM을 이용한 도시침수 위험기준 추정 알고리즘 적용성 검토)

  • Lee, Hanseung;Cho, Jaewoong;Kang, Hoseon;Hwang, Jeonggeun
    • Journal of Korea Water Resources Association
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    • v.52 no.12
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    • pp.963-973
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    • 2019
  • This study reviews a urban flooding risk criteria estimation model to predict risk criteria in areas where flood risk criteria are not precalculated by using watershed characteristic data and limit rainfall based on damage history. The risk criteria estimation model was designed using Support Vector Machine, one of the machine learning algorithms. The learning data consisted of regional limit rainfall and watershed characteristic. The learning data were applied to the SVM algorithm after normalization. We calculated the mean absolute error and standard deviation using Leave-One-Out and K-fold cross-validation algorithms and evaluated the performance of the model. In Leave-One-Out, models with small standard deviation were selected as the optimal model, and models with less folds were selected in the K-fold. The average accuracy of the selected models by rainfall duration is over 80%, suggesting that SVM can be used to estimate flooding risk criteria.