1,003 research outputs found
Shipbreaking and the North-South Debate: Economic Development or Environmental and Labor Catastrophe
Language about salvation: an analysis of part of the vocabulary of the Old Testament
It may seem odd that, after many centuries of translation and
exegesis, the meaning of a common Old Testament Hebrew word like
HOSIA can still be taken as the subject of a doctoral dissertation.
There are several answers to this charge. First, there have, broadly
speaking, been only two approaches to the problem of the meaning of
HOSIA, the one based on simple translation (e.g. 'HOSIA means
"save "), and the other on comparative philology (e.g. 'the root of
HOSIA means "spaciousness". Cf. Arabic wasia "be spacious "').
Even without analysing the obvious inadequacy of these two methods,
it is clear that there is still room for a systematic definition of
the meaning of HOSIA from within the Hebrew language. How is it
distinguished, for example, from HISSIL which also 'means "save",
and from HIRHIB whose root also 'means "spaciousness "? Monolingual
definition, in terms of meaning-relations contracted within the language,
and semantic components identifiable in lexical groups, is, to the
best of my knowledge, unknown in the field of Old Testament Hebrew
lexicography.This leads to a second, more general answer. The gap between the
semantics of Biblical language and modern linguistic theory has still
to be bridged. My interests in this direction began in 1961 at New
College, Edinburgh, under the stimulus of Professor James Barr whose
famous book on the subject was published in that year, and were further encouraged by Professor Chaim Rabin in Jerusalem, whose course in
semantica mictra'it at the Hebrew University in 1962, in a way marked
the beginning of a new era for the semantics of the Hebrew language.
More recently, my participation in the activities of the Linguistic
Section of the University of Newcastle upon Tyne Philosophical Society,
and some valuable assistance from Professor John Lyons in the University
of Edinburgh, have made me aware of the immense contribution still to
be made by general linguistics to Old Testament lexicography and
interpretation.In this short essay I have tried to work out a general semantic
theory applicable to a religious text like the Old Testament. In the
field of Biblical research, semanticists - and this includes philologists,
lexicographers, exegetes and theologians - have a distinct
advantage over their colleagues in other branches of linguistic science
in having a closed literary corpus to work with. Our first step is to
define this corpus and the context or contexts in which it has meaning
(Chapter I). There are varieties of language within the corpus and
distinctions must be drawn in terms of style or literary form (Chapter
II). A third chapter presents some of the more important historical factors operating in the associative field to which HOSIA , HISSIL,
etc. belong; while the next chapter is a synchronic analysis of the
meaning of these terms as they are used in a selected variety of Old
Testament Hebrew, namely language addressed to God. The results of
this analysis can then be correlated, compared with the historical
data, and set forth as dictionary definitions (Chapter V). A final chapter attempts to draw up a modest blue -print for semantic studies
of Old Testament terms, based on the experience of handling the lexical
material involved in the foregoing chapters.This outline suggests a third answer to the charge that there can hardly be anything left to say on the meaning of HOSIA: a problem
like this cannot properly be studied in isolation. Questions about the
context of the Old Testament, the nature of religious language, and the
relation between "word -studies" and "concept- studies ", on which there
is still a great deal to be said, arise at every stage. Which words
belong to language about salvation and which do not? What is the relation between "the meaning of HOSIA and "the meaning of salvation"?
How is it possible to move from semantic analysis to Biblical Theology?
What theological norms are there in cases of diversity of meaning? In
short, there are theological and religious issues in this kind of study
which point beyond the relatively circumscribed context of linguistic
description
Airport Emergency Post-Event Recovery Practices
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The Old Testament and Its Readers
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Nuclear safety policy working group recommendations on nuclear propulsion safety for the space exploration initiative
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Improving an Active-Optical Reflectance Sensor Algorithm Using Soil and Weather Information
Active-optical reflectance sensors (AORS) use light reflectance characteristics from a crop canopy as an indicator of the plant’s N health. However, studies have shown AORS algorithms used in conjunction with measured reflectance characteristics for corn (Zea maysL.) N fertilizer rate recommendations are not consistently accurate. Our objective was to determine if soil and weather information could be utilized with an AORS algorithm developed at the University of Missouri (ALGMU) to improve in-season (∼V9 corn development stage) N fertilizer recommendations. Nitrogen response trials were conducted across eight states over three growing seasons, totaling 49 sites with soils ranging in productivity. Nitrogen fertilizer rates according to the ALGMU were compared to economic optimal nitrogen rate (EONR). Without soil and weather information included, the root mean square error (RMSE) of the difference between ALGMU and EONR (MUDIFF) was 81 and 74 kg N ha–1 for treatments receiving 0 and 45 kg N ha–1 applied at planting, respectively. When ALGMU was adjusted using weather (seasonal precipitation and distribution prior to sidedress) and soil clay content, the RMSE was reduced by 24 to 26 kg N ha–1. Without adjustment, 20 and 29% of sites were within 34 kg N ha–1 of EONR with 0 and 45 kg N ha–1 at planting, respectively. But with adjustment for soil and weather data, 45 and 51% of sites were within 34 kg N ha–1 of EONR. These results show that weather and soil information could be used to improve ALGMU N recommendation performance
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