PERIPHERAL’STATE RESPONSIBILITY UNDER GLOBALIZATION VS SOCIAL EXCLUSION AND SUSTAINABILITY: A CHALLENGE FOR MEXICO AND LATIN AMERICA IN CURRENT CENTURY
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it