Nivel de impacto de la campaña social "ni una menos" en los aspectos cognitivos y actitudinales de la poblacion femenina del sector central del distrito la esperanza - Trujillo 2016
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 current research is made from world prevalence figures indicate that about one in \nthree (35%) women in the world have experienced violence, and where most of these \ncases of violence inflicted by the couple. We decided to work in the District of La \nEsperanza, because according to the Women's Emergency Center (Centro de \nEmergencia de la Mujer, CEM), it is the district that has received the most complaints in \n2015, a regional level. \nThe main objective of the research is to determine the level of impact of the "Ni Una \nMenos" campaign on the cognitive and attitudinal aspects of the female population aged \n15-44 in the Central Sector of the La Esperanza district in Trujillo, \nThe design of the research contrast is descriptive-evaluative, since the social campaign \n"Ni una menos" and the impact on cognitive and attitudinal knowledge were studied. \nInterviews were conducted with the director of CEM - La Esperanza and the voices of \nthe "Ni Una Menos" Social Campaign in Trujillo. In addition, a survey was applied to a \nsample of 381 women from the Central sector of the La Esperanza district. \nAccording to the survey applied, she concluded that the campaign had a high impact on \nthe female population of the Central sector of the District La Esperanza, and that she \nknew the theme of the campaign, many of them participated, understood the message \nthat was intended to be transmitted, Are Motivated to share information to eradicate \nviolence in their sector.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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