From Córdoba to Washington: WTO/GATS and Latin American Education
Bibliographic record
Abstract
This article examines the educational dimension of the General Agreement on Trade in Services of the World Trade Organisation (WTO/GATS), with a special focus on its potential implications for the Latin American region. This ambitious strategy to transform education into a tradable commodity in a global economy cannot be isolated from other international treaties and from the neoliberal policies that have impacted Latin American societies for the last two decades. In this regard, we argue that the WTO/GATS educational agenda has the potential to further the project of privatisation to a higher level, opening the door for international competition. In a continental political economy characterised by large asymmetries in educational export markets and in interactive technologies, such competition will not take place on an even playing field, as the USA is better positioned than most countries in the region to take advantage of a ‘free educational market’. If the proposed WTO/GATS goes ahead in such a context, Latin American countries can be adversely affected in terms of their sovereignty on cultural policy, the quality and accessibility of their public education systems, the training of scientists and researchers oriented towards national development, and the contribution of their education systems to the common good and to the equalisation of opportunities in largely unequal societies. We recommend that Latin American governments do not commit themselves to the educational agenda of the WTO/GATS before holding a wide process of public participation, information and reflection in national parliaments and in civil society.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.018 | 0.001 |
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.
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".