Bibliographic record
Abstract
This article, based on debates and guidelines of cultural diversity and development raised by Agenda 2030, which projects it across all objectives, being assumed by UNESCO as of global importance, looking at it as necessary for sustainable development as much as biodiversity, seeks to problematize its relevance in the curricula, as an integral place of valuable knowledge. We start from the belief that cultural diversity is the reality of the dialogue for the development and affirmation of the exercise of human rights. It is a natural resource of human regeneration to creatively emancipate the development of humanity, constituting one of the greatest challenges for the curricula of the different educational systems in the world. From a holistic approach, we seek to interpret the place and time of cultural diversity in the curriculum. It is hoped that this article will contribute to highlighting the importance of cultural diversity and assuring visibility in curricula, an authentic way to respond to the commitment that the 2030 Agenda represents for inclusive human development, as a shared and plural creative citizen responsibility, to affirm harmonious development of humanity.
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.
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 | 0.009 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.009 | 0.015 |
| Scholarly communication | 0.022 | 0.011 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.015 | 0.003 |
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".