MétaCan
Menu
Back to cohort
Record W2149281069 · doi:10.7202/800752ar

Technologie, matières premières et pétrole : vers un monopole bilatéral?

2009· article· en· W2149281069 on OpenAlexaffvenue
Antoine Ayoub

Bibliographic record

VenueL Actualité économique · 2009
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsMonopolyContext (archaeology)Developing countryEconomicsCommodityProduct (mathematics)Developed countryNewly industrialized countryProduction (economics)Natural monopolyInternational tradeInternational economicsMarket economyEconomic growthMacroeconomicsSociology

Abstract

fetched live from OpenAlex

What is the appropriate economic policy for primary commodity producing developing countries given that industrialized countries are specialized in the production of technological progress? Integrating the concept of product life cycle to the static theory of comparative advantage, Harry Johnson has argued that free trade will, by spreading the technology, dissolve the monopoly in technology, and thus constitutes the only policy capable of transmitting growth from one country to another. This article criticizes this thesis on the following points: 1) A rigorous interpretation of the concept of product life cycle and of the underlying assumptions suggests that only industrialized countries present the necessary conditions for the location of the production of exportable technological progress. 2) It follows that the monopoly of the industrialized countries is not temporary but dynamic and self renewing. 3) Free trade, in this case, will only reinforce the negative effects of this monopoly on international specialization and, therefore, reinforce the disparities between industrialized and developing countries. Given the absence of a supranational authority which could intervene against this monopoly, it is appropriate to consider the limits of the bilateral monopoly policy which the developing countries will apply, based on their primary commodities, and the role that OPEC can play in this context.

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)0.003
metaresearch head score (Gemma)0.007
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 score0.012
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0020.006
Scholarly communication0.0060.012
Open science0.0010.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0120.001

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 head0.087
GPT teacher head0.221
Teacher spread0.134 · 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

Citations1
Published2009
Admission routes2
Has abstractyes

Explore more

Same venueL Actualité économiqueSame topicGlobal trade and economicsFrench-language works237,207