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Record W4248319952 · doi:10.4324/9780203185940-10

Latin America, the Caribbean and Canada 154 159 163 165

2002· book-chapter· en· W4248319952 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicEU Law and Policy Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsLatin AmericansGeographyHistoryCartographyPolitical scienceLaw

Abstract

fetched live from OpenAlex

There are several distinctive characteristics for this region, compared to other parts of the Third World. At the start of the century, almost all of the region was politically independent; except certain colonies in and bordering on the Caribbean. Many of the countries had begun to industrialize by 1929, and correspondingly, several governments consciously pushed a policy of import substitution industrialization after World War II. Railroads were quite important during the first half of the century, and the role of the private sector, domestic and foreign, was more important here than elsewhere in the Third World. Further introductory generalizations are that the presence of US investment has been strongest in Canada, Mexico, the Caribbean, and certain Andean countries, while that of European investors was more notable in Argentina, Brazil, and in the other countries often referred to as the Southern Cone. During the last two decades of the century outward foreign investment has reached noticeable levels from Mexico and from the Southern Cone countries; for these latter, a regional integration scheme, Mercosur, has provided an important economic stimulus. Since midcentury, a major regional office of the United Nations, known by the various acronyms ECLA, ECLAC, or CEPAL, has documented the region’s development, while helping to frame the consideration of development policies. Canada is included in this chapter not only because of some structural similarities with other countries in the hemisphere, but particularly due to the important role that foreign investment has always had in the country. As such, the Canadian case may have lessons for other countries in the region.

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)0.000
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.045
Threshold uncertainty score0.165

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.006
Science and technology studies0.0080.002
Scholarly communication0.0070.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0450.003

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 head0.024
GPT teacher head0.243
Teacher spread0.220 · 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
GenreOther

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

Citations0
Published2002
Admission routes1
Has abstractyes

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Same topicEU Law and Policy AnalysisFrench-language works237,207