Violence against the elderly in the city of Rio de Janeiro La violencia contra los ancianos en la ciudad de Río de Janeiro
Bibliographic record
Abstract
The number of elderly is growing dramatically requiring the implementation of measures for their well-being. There is a lack of research into the causes of violence against the elderly and its prevention. This research examines the factors influencing this violence in the city of Rio de Janeiro. The Palmore Ageism Scale (2001) was tested with 284 participants of 60 yrs or more. Factor analyses and correlations were performed and the predictors confirmed by multiple regression. The results demonstrated that the more intense the level of conflicts in the relationships of the elderly the more frequent the violence suffered by them. Elderly men experienced more intense conflicts in their relationships than elderly women. About a quarter of those who had suffered aggression did not denounce their aggressors, reinforcing the sub-notification of the real number of cases. Measures are suggested for the reduction of discrimination against the elderly.
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How this classification was reachedexpand
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 | 0.006 | 0.001 |
| 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 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".