Archaeology in Gabon, 1886–1988

This is the first attempt at synthesis of archaeological research conducted in Gabon between 1982 and 1988. Middle Stone Age, Late Stone Age, Neolithic, Early and Late Iron Age data are discussed in the context of earlier discoveries and of current research in Central Africa as a whole.Though the Middle Stone Age remains undated, its earliest component clearly preceded 40,000 bp. The Late Stone Age is datedca 9000–2500 bp, with an early Neolithic perhaps as old as 5000–3000 bp. A late Neolithic is firmly dated to 2600–2200 bp. Iron smelting is shown to have begunca 2500 bp in inland areas of Gabon andca 2000 bp near the coast.

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Résumé On présente ici une première synthèse des données scientifiques obtenues au cours des travaux de 1982–1988 au Gabon. Les éléments relatifs au Middle Stone Age, au Late Stone Age, au Néolithique, aux Ages du Fer ancien et récent sont présentés. A chaque fois une discussion s'engage les mettant en relation avec le contexte global de l'Afrique Centrale ainsi qu'avec les découvertes antérieures.Quoique le MSA reste mal daté, il peut être démontré que les plus vieux outils ont au moins 40,000 ans d'âge. Le LSA quant à lui est circonscrit à la périodeca 9000–2500 bp, alors qu'un Néolithique ancien est peut-être situé vers 5000–3000 bp. Un Néolithique final est, lui, correctement daté vers 2600–2200 bp. Enfin, la fonte du fer est attestée à l'intérieur des terres dès 2500 bp alors que le littoral ne semble pas connaitre cette technologie avant 2000 bp.

     

Migration,Human Resource Transfers,and Development Contexts: A Logit Analysis of Venezuelan Data

This paper is concerned with the reciprocal relationship between migration and development in Third World settings. Using individual-level data for Venezuela, migration behavior is related to a person's age, educational attainment, gender, and characteristics of his/her place(s) of residence as an out-migrant, in-migrant, or stayer. Place characteristics are in terms of four groups based on employment patterns: the core, regional centers, resource frontiers, and traditional rural areas. Four questions are of concern. First, does development influence migration? All analyses indicate this is so. Second, does migration influence development? Findings are ambiguous in that places experiencing improvement in their mix of human capital lagged in the net number of persons obtained through migration whereas a gain in numbers was accompanied by deterioriation in human capital profiles. Third, was incipient polarization reversal occurring in Venezuela in the late 1960s, early 1970s? This paper departs from the usual approach by addressing this question in terms of human capital attributes instead of population aggregates. On this basis, polarization reversal is in evidence, particularly in regional centers. Finally, this study answers in the affirmative that places with different development characteristics generate migration streams differing in type, magnitude, explanation, and impact.