Cut-Flower Exports, Female Labor, and Community Participation in Highland Ecuador
Bibliographic record
Abstract
In the 1980s and 1990s Latin American economies and societies underwent a profound transformation caused by the advent of economic neoliberalism. Upon the recommendation of the International Monetary Fund, the World Bank, and bilateral donors, most Latin American governments implemented structural adjustment programs as a cure for the ills of import-substitution industrialization and burgeoning foreign debt. Along with short-term stabilization measures, these programs included broader reforms designed to reduce state economic intervention and increase national integration with global markets. At the regional level, they reduced inflation rates and triggered a rapid growth of exports and foreign direct investment (Mortimer, 2000; Macario, 2000). They failed, however, to produce a significant positive effect on national economic growth and employment. Indeed, urban unemployment rates increased in the 1990s (Economic Commission for Latin America and the Caribbean, cited in Stark, 2001: Table 4). Moreover, structural adjustment led to a decline in real minimum wages and cuts in government social services. The result was an increase in income inequalities
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".