Development of a Methodology for Educational Management Entailing Government, Economic Sectors, and Educational Institutions for Sustainable Development
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
Worldwide guidelines since the 1980s have developed mechanisms with national and international economic funds for scientific and technological development that reduce greenhouse gas emissions (GHG) and mitigate environmental impacts. The objective of this chapter is to analyze the political, socioeconomic, and regulatory characteristics of Mexico as a country with a developing economy, as well as the actions that have made the country go backward in the energy transition, to make a proposal that serves as a guide. Among the precedents have been the Montreal Protocol and the Kyoto Protocol, which have sought to mitigate the use of greenhouse gases in industrialized countries and involve developing countries through various mechanisms that encourage the reduction of GHG, such as carbon credits. The UN (United Nations) continues to work with cutting-edge initiatives and programs such as the sustainable development goals (SDGs).
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 | 0.008 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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