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Record W1524866412 · doi:10.7202/701500ar

L’industriel automobile et l’alcool : Limite des stratégies multinationales au Brésil

2005· article· en· W1524866412 on OpenAlexvenueno aff
Michel Duquette

Bibliographic record

VenueÉtudes internationales · 2005
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Theory and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsMultinational corporationContext (archaeology)IndustrialisationAlliancePrivate sectorEconomyBusinessPolitical scienceMarket economyEconomicsEconomic growthLaw

Abstract

fetched live from OpenAlex

In the Third World, the Energy Crisis of 1973 emphasized the vulnerability of certain large oil-importing countries engagea in an extensive process of industrialization. As the multinational-dominated automobile industry represented the core of the recent industrializing profile in Brazil, the end of Growth meant a direct threat to its future development as an energy-consuming economic sector. A powerful lobby was then activated to intervene on the side of the State and the national bourgeoisie. The latter was putting forward the PRO-ALCOOL program in the Mid-Seventies, as a response to the new challenge. An alliance with the car industry was made possible when the State withdrew from a tradition of direct involvment in Energy (exemplified by PETROBRAS), to enhance the private sector. Such a neo-liberal strategy in oil-substitution would be aimed at a potentially unlimited market in South America and the Carribean for alcohol-powered cars, while being essentially dependent upon the performance of its participants : the national bourgeoisie engagea in agro-business, and the automobile industry. In the light of recent findings from a research conducted in Brazil, the author recognized the originality of this internationalizing strategy, in the context of regional market integration. However, given its neo-liberal nature, it is not surprising that controls (of costs and quality) remained largely ineffective. Further structural limitations, such as technological deficiencies caused by inadequate R & D activities, uneasy relations among actors, especially among multinational corporations themselves, and a lack of private funding (to be related to the deep crisis in Latin America) delayed the implementation of the program in its original conception. Although reluctant to the introduction of new competitors, especially from Japan, the multinational could be forced into a new alliance that goes far beyond the actual loose formula, if they want the PRO-ALCOHOL program to be reactivated in the near future.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.046
Threshold uncertainty score0.092

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0040.007
Scholarly communication0.0130.005
Open science0.0010.004
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0070.001

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.

Opus teacher head0.056
GPT teacher head0.275
Teacher spread0.219 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2005
Admission routes1
Has abstractyes

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