PERIPHERAL’STATE RESPONSIBILITY UNDER GLOBALIZATION VS SOCIAL EXCLUSION AND SUSTAINABILITY: A CHALLENGE FOR MEXICO AND LATIN AMERICA IN CURRENT CENTURY
Bibliographic record
Abstract
This article aims to highlight the fact that under today's current global context, it comes out manifest a clear lack of long-term commitment from their States to implement strategies aiming to balance the binomial economic growth well-being under a sustainable framework in most peripheral economies, among manifold factors and particularly the pervasive presence and influence of international hegemonic institutions such as the World Bank, IMF in major economies, in Latin America and elsewhere throughout the periphery which has undermined the efforts of democratic governments to shift the current neoliberal-oriented-policies to maximize profit-at-all-cost strategies which have undermined population’s social wellbeing and sustainability prevailing throughout the periphery by another alternative one, a more socially inclusive and sustainably oriented strategy. One committed to paralleling fostering, economic growth and the people’s well-being in a country. Such a model currently prevails in some advanced socially inclusive economies (Scandinavian countries, Switzerland, Canada, etc.), versus the situation faced by the majority of peripheral economies, as in Latin America, including Mexico, during the last decades. The bottom line of this article is to disclose some underlying factors and circumstances that have prevented a reorientation of the prevailing neoliberal strategies in peripheral economies, namely, those socioeconomic factors and political circumstances under which an emerging economy such as Mexico is currently successfully implementing a socially inclusive and sustainable strategy far from the so-called Washington Consensus, vid, Hurt, Stephen R.(May 27, 2020).
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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 | 0.003 | 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 | 0.006 | 0.011 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".