La mujer: pieza clave en el desarrollo. Estrategias contenidas en la agenda 2030
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
The participation of women in the different economic, political, social and environmental sectors constitutes the key piece to achieve that sustainable human development that we so long for. Its strength, intelligence, ability to manage resources, as well as its ability to care for others and the environment that surrounds it make it the engine of sustainable human development. However, one of the obstacles that millions of women around the world have to face is the poor recognition of their rights in all areas, making them susceptible to situations of discrimination, violence and social exclusion. Although great progress has been made in the last 40 years in incorporating the gender perspective in international agendas, there are still important challenges regarding their equal and full participation in international society. For this reason, we carried out an analysis on the incorporation of a gender perspective in the 17 Sustainable Development Goals (SDGs), highlighting the importance of women's participation in each of the SDGs. Therefore, this work aims to analyze the incorporation of the gender perspective in the 17 Sustainable Development Goals (SDGs), highlighting the importance of women's participation in each of the SDGs and determining the challenges that arise in the implementation of the SDGs from a gender perspective. Being the descriptive methodology, based on the analysis of qualitative and quantitative data, the one used to carry out this work.
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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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