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Record W2161725341 · doi:10.1596/1813-9450-2935

Missed Opportunities: Innovation and Resource-Based Growth in Latin America

2002· book· en· W2161725341 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueWorld Bank, Washington, DC eBooks · 2002
Typebook
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Growth and Productivity
Canadian institutionsnot available
Fundersnot available
KeywordsLatin AmericansResource (disambiguation)BusinessNatural resource economicsEconomicsPolitical scienceComputer science

Abstract

fetched live from OpenAlex

No AccessPolicy Research Working Papers25 Jun 2013Missed Opportunities: Innovation and Resource-Based Growth in Latin AmericaAuthors/Editors: William F. MahoneyWilliam F. Mahoneyhttps://doi.org/10.1596/1813-9450-2935SectionsAboutPDF (0.2 MB) ToolsAdd to favoritesDownload CitationsTrack Citations ShareFacebookTwitterLinked In Abstract:Latin America missed opportunities for rapid resource-based growth that similarly endowed countries—Australia, Canada, Scandinavia—were able to take advantage of. Fundamental to this poor performance was deficient technological adoption driven by two factors. First, deficient national "learning" or "innovative" capacity, arising from low investment in human capital and scientific infrastructure, led to weak ability to innovate or even take advantage of technological advances abroad. Second, the period of inward-looking industrialization discouraged innovation and created a sector whose growth depended on artificial monopoly rents rather than the quasi-rents arising from technological adoption, and at the same time undermined resource-intensive sectors that had the potential for dynamic growth. This paper—a product of the Office of the Chief Economist, Latin America and the Caribbean Region—was prepared as a background paper for the region's flagship report, From Natural Resources to the Knowledge Economy (2001). Previous bookNext book FiguresReferencesRecommendedDetailsCited ByEnvironmental Collapse and Institutional Restructuring: The Sanitary Crisis in the Chilean Salmon Industry16 April 2016Mushrooms and Yeast: The Implications of Technological Progress for Canada's Economic GrowthSSRN Electronic JournalExport diversification and structural changes in South AfricaJournal of Governance and Regulation, Vol.4, No.31 January 2015Engineers, Innovative Capacity and Development in the AmericasSSRN Electronic JournalCatching Up in the 21st Century: Globalization, Knowledge and Capabilities in Latin America, a Case for Natural Resource Based ActivitiesCost-Reducing R&D in the Presence of an Appropriation Alternative: An Application to the Natural Resource CurseSSRN Electronic JournalUnderstanding the development of technology-intensive suppliers in resource-based developing economiesResearch Policy, Vol.39, No.2Firm‐specific and economy wide determinants of firm profitabilityManagerial Finance, Vol.35, No.11The Role and Development of Technology-Intensive Suppliers in Resource-Based Economies: A Literature ReviewSSRN Electronic JournalUnderstanding the dynamics and competitiveness of the South African minerals inputs clusterResources Policy, Vol.31, No.1 View Published: December 2002 Copyright & Permissions Related RegionsLatin America & CaribbeanRelated CountriesArgentinaAustraliaCanadaChileUnited StatesRelated TopicsAgricultureEducationFinance and Financial Sector DevelopmentHealth Nutrition and PopulationIndustryMacroeconomics and Economic GrowthPrivate Sector DevelopmentRural DevelopmentSocial Protections and Labor KeywordsAGRICULTURECOMPETITIVENESSDEBTDEVELOPMENTDEVELOPMENT POLICIESHUMAN CAPITALINCENTIVESINDUSTRIALIZATIONINVESTMENTKNOWLEDGE ECONOMYLAGSMONOPOLYMONOPOLY RENTSNATURAL RESOURCESNET EXPORTSPOLITICAL ECONOMYPRODUCTIVITY GROWTHTECHNICAL ASSISTANCETOTAL FACTOR PRODUCTIVITYTRADE PDF DownloadLoading ...

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.717
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.071
GPT teacher head0.208
Teacher spread0.137 · 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