Older Brazilian women’s experience of psychological domestic violence: a social phenomenological study
Bibliographic record
Abstract
BACKGROUND: Domestic violence is a global public health issue, as it is in Brazil. The psychological violence is one of the most prevalent forms of domestic violence, affecting more women than men. However, many older adults do not consider it as a type of domestic violence. In addiction, psychological violence has received little attention from researchers. So, this study aims to further understand the phenomenon of psychological domestic violence perpetrated by relatives against older adult women (60 years and older). METHODS: A qualitative study was conducted using a social phenomenological approach proposed by Alfred Schütz. In-depth interviews were conducted with 11 older Brazilian women from three different agencies, two in Campina Grande and one in São Bernardo do Campo. Data collection took place between November 2012 and February 2013. We performed data analysis using the key concepts (such as the world of everyday life, natural attitude, intersubjetivity, stock of knowledge, biographical situation, social action, motivation and typification) proposed by Alfred Schutz. RESULTS: Despite the fact that participants reported being psychologically abused, they also referred to being neglected and financially abused. They revealed being threatened, disrespected, neglected, financially abused, forced to do housework, and humiliated. Older women expressed feelings of sadness, anger, grief, and fear, which had negative effects on their health. Attempts by the participants to change their current situations were unsuccessful and resulted in feelings of helplessness. The abuser's behaviour will change, and leaving the abusive situation were two possible outcomes pointed for participants. CONCLUSIONS: A support network is crucial to help changing the behaviour of aggressors and/or to help older adult women leave the abusive situation. Further research is needed to understand the risk factors linked to abuse behaviours, to develop educational programs for the abusers, and to design social support for the victims.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".