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Country Role Models for Development Success: The Case of Costa Rica

2013· book-chapter· en· W2345794843 on OpenAlexaboutno aff
Alberto Trejos

Bibliographic record

VenueOxford University Press eBooks · 2013
Typebook-chapter
Languageen
FieldSocial Sciences
TopicInternational Development and Aid
Canadian institutionsnot available
FundersUnited Nations University World Institute for Development Economics ResearchDepartment for International DevelopmentStyrelsen för Internationellt Utvecklingssamarbete
KeywordsQuarter (Canadian coin)Foreign direct investmentLiberalizationDebt crisisInvestment (military)DemocracyDebtConsistency (knowledge bases)Development economicsEconomicsEconomyEconomic policyPolitical scienceGeographyMarket economyFinanceMacroeconomicsPolitics

Abstract

fetched live from OpenAlex

This chapter discusses the factors behind Costa Rica's economic growth over the last quarter of a century. It highlights the combination of three particular sets of policies. The first set of policies involves the substantial investments and unusual decisions made by Costa Rica during the twentieth century with regard to democracy, peace, education, healthcare, and the environment. The second set of policies concern the stabilization and (partial) liberalization measures undertaken after the 1980–82 debt crisis. The third set of policies is the measures aimed at opening the Costa Rican economy and, more importantly, at promoting its exports and attracting foreign direct investment (FDI). This is a policy area that has been strongly prioritized for the last quarter century with continuity and consistency.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.110
Threshold uncertainty score0.219

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0080.008
Scholarly communication0.0080.003
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.001

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 head0.031
GPT teacher head0.238
Teacher spread0.208 · 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 designQualitative
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

Citations23
Published2013
Admission routes1
Has abstractyes

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