La mediación en violencia intrafamiliar: modelos internacionales, efectividad y constitucionalidad en el contexto ecuatoriano
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
Domestic violence is a serious human rights problem that affects women, children and other vulnerable family members around the world. In Ecuador, this type of violence includes not only physical aggression, but also emotional and economic control and psychological manipulation. Where 65% of women have been victims of some type of violence throughout their lives. The effects of domestic violence are profound, affecting the physical and mental health of victims, who often suffer injuries, chronic illnesses, anxiety, depression and post-traumatic stress. In addition, they face social isolation and difficulties in achieving economic independence, which perpetuates their dependence on the aggressor. To address this problem, Ecuador approved in 2018 the Comprehensive Organic Law to Prevent and Eradicate Violence against Women, which establishes protection measures and sanctions against aggressors. However, the implementation of this legislation faces obstacles, such as lack of resources and gender stereotypes that view domestic violence as a private matter. Mediation has emerged as an alternative to resolve conflicts in cases of domestic violence in several countries, although its use is controversial due to power imbalances between the parties. In places such as Canada and Norway, it has been implemented under strict conditions to protect victims. In Ecuador, any proposal to incorporate mediation must focus on guaranteeing the safety and rights of victims, avoiding their re-victimization and ensuring an approach based on human rights and gender equity.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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