Canadá y su relación con Latinoamérica: una cavilación hacia el futuro
Bibliographic record
Abstract
espanolEste articulo aborda la compleja y problematica relacion en anos recientes entre Canada y sus contrapartes latinoamericanos, tomando en consideracion los elementos ideologicos, economicos y politicos internos en Canada, sin los cuales no puede entenderse el rumbo que ha tomado esta relacion. Asi, mediante un estudio de los antecedentes historicos mas visibles, senalaremos la direccion que tomo la politica canadiense en el ambito internacional bajo el gobierno del conservador Stephen Harper y el lugar que ocupo Latinoamerica en su agenda. De esta forma, haremos un balance de la importancia de America Latina para Canada, al igual que identificaremos los probables rumbos que tomara esta relacion bajo la administracion liberal que asumio el poder en Canada a finales de 2015, con el primer ministro Justin Trudeau. EnglishThis article studies the complex and problematic relation which Canada has had in recent years with its Latin American counterparts, and considers the pertinent ideological, economic and internal political elements of Canada needed to understand the direction it has taken. Through an analysis of the most obvious historical antecedents, we assess the direction taken by the government of Conservative leader Stephen Harper, both in terms of Canadian foreign policy in general and Latin America. We study the importance that Latin America has had for Canada, while also identifying potential future directions to be taken by Prime Minister Justin Trudeau, leader of the Liberal party, which took power in late 2015.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.013 | 0.014 |
| Scholarly communication | 0.013 | 0.005 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.014 | 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".