Bibliographic record
Abstract
This essay aims at analysing the position of Latin America and the Caribbean in its totality as a global player, and the challenges facing CELAC – Community of Latin American and Caribbean Countries – as a mechanism of political partnership with its own views on the Organization of American States (OAS). Indeed, CELAC is to some extent presented as a hemispheric mechanism that rivals the OAS and which may eventually replace it, leaving the U.S. and Canada aside. In this regard, a comparison and an assessment of the implications involved will be made. It is therefore useful to pose the following question: Is CELAC the key to structuring an alternative movement to the OAS?Resumen:El motivo de este ensayo consiste en analizar la posición de América Latina y el Caribe en su conjunto como actor global frente al reto que supone la CELAC – Comunidad de Estados Latinoamericanos y Caribeños – como mecanismo de concertación política y su postura frente la OEA – Organización de Estados Americanos. En efecto, la CELAC se presenta para algunos como un nuevo mecanismo hemisférico que rivaliza con la OEA y que eventualmente podría sustituirla, dejando a un lado a los Estados Unidos y Canadá. En tal sentido, se pretende contrastar y valorar dicha apreciación. Es por ello que resulta útil plantearse la siguiente cuestión: ¿Es la CELAC la clave para estructurar un movimiento alternativo a la OEA?
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.008 | 0.012 |
| Scholarly communication | 0.012 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".