Letter: To "My Dear Charles" from John Wesley, January 3, 1741

Digitized from a letter in the Drew University Methodist Collection. 1 Item (2 p.); 17 x 20 cm

"Not Without My Ancestors": A Christological Case Study of the Shona Ancestor Cult of Zimbabwe

The issue of ancestors has been controversial since the first encounters of Christianity with Shona religion. It remains a major theological problem that needs to be addressed within the mainline churches of Zimbabwe today. Instead of ignoring or dismissing the ancestor cult, which deeply influences the socio-political, religious, and economic lives of the Shona, churches in Zimbabwe should initiate a Christology that is based on it. Such a Christology would engage the critical day-to-day issues that make the Shona turn to their ancestors. Among these concerns are daily protection from misfortune, maintaining good health and increasing longevity, successful rainy seasons and food security, and responsible governance characterized by economic and political stability. Since the mid-16th century arrival of Jesuit missionaries in the Mutapa Kingdom, the Church has realized that many African Christians resorted to their ancestors in times of crisis. Although both Catholic and Protestant missionaries from the 1700s through the early 1900s fiercely attacked Shona traditional beliefs as superstitious and equated ancestors with evil spirits, the cult did not die. Social institutions, such as schools and hospitals provided by missionaries, failed to eliminate ancestral beliefs. Even in the 21st century, many Zimbabweans consult their ancestors. The Shona message to the church remains "Not without My Ancestors." This dissertation examines the significance of the ancestors to the Shona, and how selected denominations and new religious movements have interpreted and accommodated ancestral practices. Taking the missiological goal of "self-theologizing" as the framework, this dissertation proposes a "tripartite Christology" of "Jesus the Family Ancestor", "Jesus the Tribal Ancestor," and "Jesus the National Ancestor," which is based on the Shona "tripartite ancestrology." Familiar ecclesiological and liturgical language, idioms, and symbols are used to contribute to the wider Shona understanding of Jesus as the ancestor par excellence, in whom physical and spiritual needs-including those the ordinary ancestors fail to meet-are fulfilled.

Spatial Pattern Learning, Catastophic Forgetting and Optimal Rules of Synaptic Transmission

It is a neural network truth universally acknowledged, that the signal transmitted to a target node must be equal to the product of the path signal times a weight. Analysis of catastrophic forgetting by distributed codes leads to the unexpected conclusion that this universal synaptic transmission rule may not be optimal in certain neural networks. The distributed outstar, a network designed to support stable codes with fast or slow learning, generalizes the outstar network for spatial pattern learning. In the outstar, signals from a source node cause weights to learn and recall arbitrary patterns across a target field of nodes. The distributed outstar replaces the outstar source node with a source field, of arbitrarily many nodes, where the activity pattern may be arbitrarily distributed or compressed. Learning proceeds according to a principle of atrophy due to disuse whereby a path weight decreases in joint proportion to the transmittcd path signal and the degree of disuse of the target node. During learning, the total signal to a target node converges toward that node's activity level. Weight changes at a node are apportioned according to the distributed pattern of converging signals three types of synaptic transmission, a product rule, a capacity rule, and a threshold rule, are examined for this system. The three rules are computationally equivalent when source field activity is maximally compressed, or winner-take-all when source field activity is distributed, catastrophic forgetting may occur. Only the threshold rule solves this problem. Analysis of spatial pattern learning by distributed codes thereby leads to the conjecture that the optimal unit of long-term memory in such a system is a subtractive threshold, rather than a multiplicative weight.