The Global Sustainable Development Goals of the 2030 Agenda
Bibliographic record
Abstract
The Iberarchivos program, which is a financial fund for the implementation of archival projects, is a benchmark of archival cooperation in Ibero-America for archival development. Based on the perspectives of culture as a pillar of sustainable development advocated by the United Nations Educational, Scientific, and Cultural Organization (UNESCO) and the Quadruple Bottom Line (QBL), the aim of this study is to present the contributions of the Iberarchivos program to the achievement of the Sustainable Development Goals (SDGs). Methodologically, it is an applied, exploratory, and descriptive study in terms of objectives, as well as bibliographic and documentary research in primary sources as technical procedures. After a critical reading of each strategic plan for the Ibero-American partnership (PACCI) for the period of 2019 to 2026, all the initiatives related to the Iberarchivos program for the achievement of sustainable development will be identified and described to map the existence of sustainable practices and actions intended for the Ibero-American archives in their activities. This work has identified efforts and movements that highlight the relevance of guaranteeing the right of access to information, culture, and memory for citizenship and the objectives of the SDGs of the United Nations 2030 Agenda, as well as mobilization with other social sectors for the development and monitoring of cultural public policies. The conclusion of this research is that the contributions of the Iberarchivos program are essential for achieving the SDGs, consolidating the QBL, and, above all, the richness and diversity of Ibero-American culture in building sustainable knowledge for society in general and the archival community, as well as democratizing access to culture.
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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 | 0.010 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 0.004 |
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".