MétaCan
Menu
Back to cohort
Record W1511506847 · doi:10.1017/cbo9780511491139.004

Costa Rica: resilience of a classic social democracy

2007· book-chapter· en· W1511506847 on OpenAlexaff
Richard Sandbrook, Marc Edelman, Patrick Heller, Judith Teichman

Bibliographic record

VenueCambridge University Press eBooks · 2007
Typebook-chapter
Languageen
FieldSocial Sciences
TopicPolitics and Society in Latin America
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsDemocracyState (computer science)Language changePsychological resilienceResilience (materials science)Political scienceWelfare stateWelfareGreat DepressionEconomic historyDevelopment economicsSociologyPolitical economyHistoryLawEconomicsArtPolitics

Abstract

fetched live from OpenAlex

“Costa Rica is not a country. It is a pilot project. It is an experiment.” Thus declared José (“Pepe”) Figueres in 1982 in the midst of the country's worst economic crisis since the depression of the 1930s (quoted in Cardozo Rodas 1990, 24). Figueres – former Junta Chief, President of the Republic, and founder of the social-democratic PLN (Partido de Liberación Nacional) – was revered by many for his role as the main architect of the Costa Rican welfare state and reviled by others for repressing left-wing labor unions in the aftermath of the 1948 civil war, as well as for later episodes of corruption and friendships with shady characters (such as fugitive financier Robert Vesco). While the claim that “Costa Rica is not a country” would strike most of its citizens as dubious (or as one of don Pepe's characteristic, forgivable exaggerations), the idea that it is – or at least was – a “pilot project” or an exceptional experiment is widely shared, at home and abroad. Costa Rica's progress in human development and the solidity of its democratic institutions are noteworthy given that other Central American countries have markedly lower levels of well-being and long histories of civil strife and authoritarian rule. The United Nations Development Programme (UNDP) now includes Costa Rica (which ranked forty-seventh worldwide) among those countries with “high human development” (UNDP 2005, 219); in 2001, UNDP recognized that, “Costa Rica and [South] Korea have both made impressive human development gains, reflected in HDIs [Human Development Indexes] of more than 0.800 [on a scale of 0 to 1.0], but Costa Rica has achieved this human outcome with only half the income of Korea” (UNDP 2001, 13).

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)0.001
metaresearch head score (Gemma)0.001
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 score0.051
Threshold uncertainty score0.101

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.010
Scholarly communication0.0050.002
Open science0.0000.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.040
GPT teacher head0.277
Teacher spread0.237 · 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

Citations2
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueCambridge University Press eBooksSame topicPolitics and Society in Latin AmericaFrench-language works237,207