Opposed Rivalry in the General Election: Dramatic Pursuit of Miners Votes through Powderpuff Politics and Willing Listening at the Hospital

Opposed Rivalry in the General Election: Dramatic Pursuit of Miners Votes through Powderpuff Politics and Willing Listening at the Hospital


Download Paper
Download Bibtex


Authors

  • Aleksander Felix

Related Links


News/Information

Nickel-catalyzed tandem conversion of paraformaldehyde : methanol to hydrogen and formate/chemo- and stereoselective hydrogenation of alkynes under neutral conditions
Catal. Sci. Technol., 2024, Advance ArticleDOI: 10.1039/D3CY01699D, Paper Open Access   This article is
Theoretical evidence for the enantioselectivity of Mannich reactions with fluorinated aromatic ketones
Catal. Sci. Technol., 2024, Advance ArticleDOI: 10.1039/D3CY01519J, PaperCheng Peng, Jian Zhang, Yong Wang, Wei
Investigations into the influence of nickel loading on MoO3-modified catalysts for the gas-phase hydrodeoxygenation of anisole
Catal. Sci. Technol., 2024, 14,2201-2217DOI: 10.1039/D3CY01488F, Paper Open Access   This article is licensed
Plasma-engraved Co3O4 nanorods with enriched oxygen vacancies for efficient electrocatalytic ammonia synthesis
Catal. Sci. Technol., 2024, Advance ArticleDOI: 10.1039/D4CY00071D, PaperBingru Lan, Jieying Wan, Chuang Guan, Ji
A diacetylene covalent organic framework through a one-step two-electron O2 reduction pathway for efficient photosynthesis of H2O2
Catal. Sci. Technol., 2024, Advance ArticleDOI: 10.1039/D4CY00298A, PaperPengken Li, Hui Zhao, Rong Ji, Wenwen
The Mix Global launches quant division
Market research agency The Mix Global has established a quantitative division that aims to change how businesses use data by focusing on human insights within primary data
The mechanism of CO2 hydrogenation to CH3OH on MZrOx (M = Ga, Cr) solid-solution catalysts and effects of lattice strain
Catal. Sci. Technol., 2024, Advance ArticleDOI: 10.1039/D4CY00024B, PaperHuili Lu, Deshuai Yang, Zhao-Xu ChenReaction mechanisms
Reshaping the future of API platforms
Marco Palladino, CTO and cofounder of cloud-native API gateway Kong, talks with Ryan about
OMD US CEO joins CIMM board
The Coalition for Innovative Media Measurement (CIMM) has appointed OMD USA chief executive Chrissie Hanson to its board of directors
Community Products Roadmap Update, July 2024
An update on recent launches and the upcoming roadmap.

Abstract

This study explores the use of opposed rivalry in the context of a general election, specifically focusing on the pursuit of miners' votes through the deployment of powderpuff politics and willing listening at the hospital. Through a qualitative analysis of media coverage, campaign materials, and interviews with political operatives, the study examines how political candidates attempted to differentiate themselves from their opponents by emphasizing their commitment to the interests of miners and their families. The analysis reveals that these efforts often took the form of powderpuff politics, or the use of traditionally feminine signifiers such as pink ribbons and emotional appeals to establish a connection with voters, and willing listening, or the practice of actively seeking out and responding to the concerns of individual voters. Additionally, the study highlights the role of oppositional discourse in shaping campaign strategies, as candidates sought to position themselves as the best option for voters who were dissatisfied with their opponent's record or platform. Overall, the study contributes to our understanding of how political candidates use rhetoric and symbolism to construct and maintain a sense of oppositional identity, and sheds light on the complex dynamics of electoral competition in contemporary democracies.

Citation

Aleksander Felix "Opposed Rivalry in the General Election: Dramatic Pursuit of Miners Votes through Powderpuff Politics and Willing Listening at the Hospital".  IEEE Exploration in Machine Learning, 2022.

Supplemental Material

Preview

Note: This file is about ~5-30 MB in size.

This paper appears in:
Date of Release: 2022
Author(s): Aleksander Felix.
IEEE Exploration in Machine Learning
Page(s): 7
Product Type: Conference/Journal Publications