18 research outputs found

    Developing Mature Ministers for Diverse Cultural Contexts

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    There was a time when effective ministers were not expected to develop intercultural skills because they ministered among their own people, homogenous in ethnicity and culture. This article explores some implications to be considered in forming and supervising people for ministry in diverse contexts

    Fr. Anthony J. Gittins, C.S.Sp.

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    Fr. Anthony J. Gittins, C.S.Sp. [b. 1943] was ordained in 1967. He attended the University of Edinburgh from 1968-72 and received a doctorate in Social Anthropology in 1977. Fr. Gittins was a missionary to the Mende people in Sierra Leone from 1972-80. He went on to serve as a professor at the Missionary Institute and as Formation Director in London from 1980-84. He is the Emeritus Professor of Theology and Culture at the Catholic Theological Union in Chicago, Illinois, where he began teaching in 1984. Fr. Gittins has spent over thirty years ministering to homeless women and those leaving prostitution in Chicago, and is the author of several books.https://dsc.duq.edu/sohp/1000/thumbnail.jp

    Root, Shoot, and Fruit: From Missio Dei to Mission Today

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    Living Mission Interculturally. Faith, Culture, and the Renewal of Praxis

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    Bread for the journey : the mission of transformation and the transformation of mission

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    New Yorkxx, 187 p.; 23 c

    Bread For The Journey : The Mission of Transformation and the Transformation of Mission

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    New Yorkxx, 187 p.; 24 c

    Life and Death Matters: the Practice of Inculturation in Africa

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    "Give Us the Tools and We Will Finish the Job"

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    Lower Bounds on the Sample Complexity of Exploration in the Multi-Armed Bandit Problem

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    We consider the Multi-armed bandit problem under the PAC ("probably approximately correct") model. It was shown by Even-Dar et al. [5] that given n arms, it su#ces to play the arms a total of O (n/# times to find an #-optimal arm with probability of at least 1- #. Our contribution is a matching lower bound that holds for any sampling policy. We also generalize the lower bound to a Bayesian setting, and to the case where the statistics of the arms are known but the identities of the arms are not
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