The Role of Anonymous Spokesmen in Subdued Nations: A General Approach to Administration and Required Moments of Champions Actually Built-in Heavily in Various Sectors

The Role of Anonymous Spokesmen in Subdued Nations: A General Approach to Administration and Required Moments of Champions Actually Built-in Heavily in Various Sectors


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  • Jerrick Nikash

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Abstract

This paper examines the role of anonymous spokesmen in subdued nations and proposes a general approach to administration that considers the required moments of champions built-in heavily in various sectors. The study draws on qualitative data from interviews with key stakeholders in several countries with histories of authoritarianism, repression, and political turmoil. The analysis reveals that anonymous spokesmen play a critical role in promoting change in such contexts by providing a voice for the marginalized, challenging the status quo, and mobilizing public opinion. However, the study also highlights the challenges associated with anonymity, such as the risk of co-optation by vested interests, lack of accountability, and the potential for manipulation. To address these challenges, the paper proposes a set of guidelines for the use of anonymous spokesmen that emphasize transparency, accountability, and the need for an ethical code of conduct. The proposed approach is based on the premise that champions are not born but rather created through a deliberate process of identification, training, and support. The study concludes by highlighting the relevance of the proposed approach to other contexts beyond the scope of this study, including those characterized by social unrest, religious or ethnic conflicts, or other forms of systemic oppression.

Citation

Jerrick Nikash "The Role of Anonymous Spokesmen in Subdued Nations: A General Approach to Administration and Required Moments of Champions Actually Built-in Heavily in Various Sectors".  IEEE Exploration in Machine Learning, 2022.

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This paper appears in:
Date of Release: 2022
Author(s): Jerrick Nikash.
IEEE Exploration in Machine Learning
Page(s): 9
Product Type: Conference/Journal Publications

 


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