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Reading Other Peoples' Texts - Social Identity and the Reception of Authoritative Traditions (Hardcover): Ken S. Brown,... Reading Other Peoples' Texts - Social Identity and the Reception of Authoritative Traditions (Hardcover)
Ken S. Brown, Alison L. Joseph, Brennan Breed
R3,588 Discovery Miles 35 880 Ships in 18 - 22 working days

This volume draws together eleven essays by scholars of the Hebrew Bible, New Testament, Greco-Roman religion and early Judaism, to address the ways that conceptions of identity and otherness shape the interpretation of biblical and other religiously authoritative texts. The contributions explore how interpreters of scriptural texts regularly assume or assert an identification between their own communities and those described in the text, while ignoring the cultural, social, and religious differences between themselves and the text's earliest audiences. Comparing a range of examples, these essays address varying ways in which social identity has shaped the historical contexts, implied audiences, rhetorical shaping, redactional development, literary appropriation, and reception history of particular texts over time. Together, they open up new avenues for studying the relations between social identity, scriptural interpretation, and religious authority.

Reading Other Peoples' Texts - Social Identity and the Reception of Authoritative Traditions (Paperback): Ken S. Brown,... Reading Other Peoples' Texts - Social Identity and the Reception of Authoritative Traditions (Paperback)
Ken S. Brown, Alison L. Joseph, Brennan Breed
R1,189 Discovery Miles 11 890 Ships in 18 - 22 working days

This volume draws together eleven essays by scholars of the Hebrew Bible, New Testament, Greco-Roman religion and early Judaism, to address the ways that conceptions of identity and otherness shape the interpretation of biblical and other religiously authoritative texts. The contributions explore how interpreters of scriptural texts regularly assume or assert an identification between their own communities and those described in the text, while ignoring the cultural, social, and religious differences between themselves and the text's earliest audiences. Comparing a range of examples, these essays address varying ways in which social identity has shaped the historical contexts, implied audiences, rhetorical shaping, redactional development, literary appropriation, and reception history of particular texts over time. Together, they open up new avenues for studying the relations between social identity, scriptural interpretation, and religious authority.

Using Rsm, Doe and Linear Regression to Develop a Metamodel to Predict Cargo Delivery of a Time Phase Force Deployment Document... Using Rsm, Doe and Linear Regression to Develop a Metamodel to Predict Cargo Delivery of a Time Phase Force Deployment Document (Paperback)
Ken S Browne
R1,282 Discovery Miles 12 820 Ships in 18 - 22 working days

Air Mobility Command (AMC) uses the Airlift Flow Model as their primary tool to estimate the amount of cargo delivered in a Time Phase Force Deployment Document (TPFDD). The primary objective of this research was an exploratory investigation in the development of a metamodel to predict the amount of cargo delivered from a TPFDD by AMC into a theater. In creating a valid metamodel the analyst would be able to quickly provide the decision maker with accurate insights should input parameters change. This would save valuable time and replace the need to physically alter the input parameters and re-run the simulation. Techniques that were applicable to create this metamodel include DOE, RSM, and Linear Regression. Using the techniques outlined in this research, a second metamodel was constructed using a separate set of data to validate the procedure. In both cases, the results substantiated good predictive capability between the simulation and metamodel. The analysis procedures outlined in this effort allows the researcher to identify the salient factors to the metamodel in a timely, efficient manner. Once the metamodel has been constructed and validated, it may be possible to optimize it using integer programming techniques or some other software package. By doing this, it may be possible to examine the difference between the optimal solution and your current solution. This difference may be the decisive factor that warrants further experimentation of the system or provides additional verification that you are operating within some pre-established tolerance level.

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