The Components of Spatial Changes in the Southern Region of Brazil/Les Composantes Des Changements Spatiaux Dans la Region Sud Du Bresil *
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Bibliographic record
Abstract
Abstracts This article analyzes the components of spatial changes in the Brazilian South in the 20th century. This analysis also aires to contribute to the debate about spatial disparities. Spatial disparities present two components: a structural component and a differential component. The structural component corresponds well to the advantage (or with the disadvantage) that the area draws from the structure of its economics sectors. The structural component thus expresses and quantifies the effect of the economic structure on the growth of an area. The differential component expresses well all the more local or geographical elements which accentuate (or slow down) an area's development, thus mitigating the effects of the structural component. The choice of the Brazilian South and its states (Parana State, Santa Catarina State and Rio Grande Sui State) is based on similar characteristics of colonization and exploitation of regional space, which allows the possibility of a better comparative analysis. The period of analysis covers the period between 1940 and 2000, because of the availability of employment data by economic sector. The method selected for analysis was the structural-differential or shift-share method. With the structural-differential method, it is possible to analyze the differences in growth in terms of the contribution of the sectoral structure of region's economy at the beginning of the period compared to the specific structure during one specific period. This method is not only useful in the description of spatial economic phenomena but gives also a framework for economic analysis. This statistical technique facilitates the description and analysis of the evolution of the regions over various periods. According to the results of the regional analysis, we are able to affirm that the structural component was the principal element in regional dynamics in the Brazilian South. In addition, the most favourable position of the areas of Parana State and Santa Catarina State in terms of comparative advantage does not mean that they will have a stronger level of localization of the secondary and tertiary economics sectors. Indeed, the weight of the regions, in connection with the localization of the economic sectors, changes over the different periods considered--1940/1950, 1970/1980, 1990/2000. Resumes Cette analyse vise aussi a contribuer au debat des disparites spatiales, parce qu'elle presente deux composantes du changement spatial : la composante structurelle et la composante differentielle. La composante structurelle correspond bien a l'avantage (ou au desavantage) que la region tire de sa structure sectorielle. La composante structurelle exprime donc et quantifie l'effet de la structure economique de la croissance des regions, au contraire de la composante differentielle, qui exprime bien tous les elements proprement locaux ou geographiques qui ont accentue (ou freine) le developpement de la region, attenuant ainsi les effets de la composante structurelle. Le choix de la region Sud du Bresil et de ses etats (Parana/PR, Santa Catarina/SC et Rio Grande do Sul/RS) s'appuie sur des caracteristiques semblables a la colonisation et a l'exploitation de l'espace regional, ce qui permet la possibilite d'une analyse comparative. La periode d'analyse se situera entre 1940 et 2000 en raison de la disponibilite des donnees de l'emploi par secteur economique. La methode d'analyse choisie fut la structurelle-differentielle. Par rapport a la methode structurelle-differentielle, elle permettra d'analyser dans quelle mesure les differences de croissance peuvent s'expliquer par la structure sectorielle de l'economie de la meso region en debut de periode ou par la structure specifique au cours d'une periode specifique. La methode structurelle-differentielle n'est pas seulement un instrument utile de description des phenomenes economiques spatiaux mais donne aussi un cadre pour l'analyse economique. …
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it