Evidence map›Paper›PMID 35874423›Full record

ArticleFrontiers in psychology2022

Trivialization of Aggression Against Women in India: An Exploration of Life Writings and Societal Perception.

S Arya, Allen Joshua George

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 41% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

S AryaDepartment of English, School of Humanities and Languages, Central University of Karnataka, Gulbarga, India.
Allen Joshua GeorgeIndian Institute of Management Ranchi, Ranchi, India.
Central University of Karnataka · INIndian Institute of Management Ranchi · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Aggression, or an action that intend to harm, encompasses different forms with varying intensity, impact, and salient features. Globally and in Indian context specifically, aggression against women is often normalized if there is no physical aggression involved as the hurt caused tends to be invisible. The current study explored the perceived intensity of physical, verbal, and sexual aggression among south Indian adults. Method: Aggressive instances from the life writings of two south Indian women were chosen and were rated by five independent coders to check inter-coder reliability. The select narratives disclose instances of domestic aggression. Ten instances with highest ratings were chosen as the material for data collection. Adults ( Results: The results indicate trivialization of verbal aggression compared to physical and sexual aggression. Further, the instances of verbal or more subtle aggression were perceived as even more trivial when the respondents got exposed to the instances of explicit physical and sexual aggressions first. Conclusions: The findings indicate trivialization of verbal and implicit forms of aggression, particularly when exposed along with physical and explicit forms of aggression. Consequences of different forms of aggression were not considered significant by the respondents. Suggestions for further studies, changes in policy-making, and law-enforcement were made based on the current results.

Indexed as

domestic violencegendered aggressionlife writingnormalizationphysical aggressionsexual aggressiontrivializationverbal aggression

Identifiers

PMID35874423
PMCPMC9301204
OpenAlexW4284706404

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.