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Un-Siloing Securitization: An intersectional intervention

By Dr Alexandria (Andri) Innes, VISION researcher and Senior Lecturer in International Politics at City, UoL

This research makes a case for shifting how we use and think about securitization theory. Securitization theory conventionally offers some insight into how certain issues are brought under the umbrella of security – normally state security – rather than sitting in normal political debate. When something is securitized more extreme or authoritarian policies that would normally be controversial in liberal democracies can be used. This might include things like removing civil liberties such as freedom of speech or freedom of assembly, or indefinite detention, or even policies that we’re all familiar with from 2020 and 2021, prohibiting freedom of association and freedom of movement in public space.

Securitization theory has focused on process (how something becomes securitized), object (what is securitized), and subject (who is being protected). The latter is generally the state and/or society. The process works through a meaningful speech act suggesting something is a security issue or framing it in security language (think about the war on drugs or the war on terror). The speech act then has to be accepted by an audience, who might be society at large, or the public, but also might be specialist practitioners, policy makers, think tanks, civil society, educators and so on. And the object of securitization is anything where this type of totalising discourse is evident. Examples include health, transnational crime, climate change, religion, humanitarianism, terrorism, particular ethnic identities, and immigration along with plenty of other things.

In this article, I argue that we should consider inequality when deconstructing and attempting to understand the process and practice of securitization. I suggest that racialization, ethnicization, and gendering create structural inequality in the ordering of what we think of as international – a world composed of equal state units. The nation state relies on these processes to function as an identity unit in the way that it does (with passport carrying, rights-bearing citizens and the right to deny rights to people who are not in the correct in-group). I propose that securitization theory might do better at dealing with inequality of we focus on the experience of being securitized, more so than the speech acts that make that securitization happen.

The article functioned more as a review of this sub-paradigm, and turns attention to the way the ‘object’ part tends to be siloed into the relevant thematic areas. So we look to just one securitized object at a time. Here, the article looks instead at three processes of securitization, to show that the siloing means the forms of inequality inherent in the nation state and national security are reproduced rather than reckoned with.

I look at the securitization of health, the securitization of immigration, and the securitization of gender-based violence. I suggest by mapping these objects of securitization together, we can better see the intersectional violence of inequality played out, and make visible the vulnerability, inequality and violence that pre-exists securitization, but is also enhanced, aggravated and at times hidden by it.

For further information please see: Un-siloing securitization: an intersectional intervention | International Politics (springer.com)

Or contact Andri at alexandria.innes@city.ac.uk

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Measuring ethnicity and the implications for violence inequalities

The question of how we measure, categorise, and represent ethnicity poses a growing challenge for identifying and addressing ethnic inequalities. Conceptual critiques and qualitative studies highlight the complexities and challenges of measuring ethnicity, yet there remains a lack of quantitative studies investigating the implications of these complexities for inequalities research.

VISION researchers, Hannah Manzur, Niels Blom, and Estela Capelas Barbosa, address this gap by scrutinizing methodological processes and analysing the implications of measurement and categorisation in the Crime Survey for England and Wales (CSEW), critiquing the UK’s standardised measurement of ethnicity in national survey data and government statistics.

Based on their comparative quantitative analysis of standardised ethnicity categories and regional origins and their evaluation of the CSEW and census’ methodologies, they propose an alternative categorisation of ethnicity, focusing on the ‘Mixed’, ‘Asian’, and ‘Latinx/Hispanic’ ethnic groups.

Using adjusted crosstabulations and logistic regression models, they found variations in ethnic patterns of violence victimisation based on standardised measures and their alternative recategorisation, particularly relating to the distinction between ‘Asian’ sub-groups, the recategorisation of ‘Mixed’ ethnicities, and the inclusion of ‘Latinx/Hispanic’ as a distinctive ethnic group.

Their findings reveal valuable insights into the implications of ethnic categorisation for understanding violence inequalities, with significant implications for further policy and research areas.

For further information please see: Social Sciences | Free Full-Text | (Mis)Representing Ethnicity in UK Government Statistics and Its Implications for Violence Inequalities (mdpi.com)

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Event: Zero tolerance to female genital mutilation

This event is in the past.

The International Day of Zero Tolerance for Female Genital Mutilation (FGM) is 6 February every year. The United Nations Assembly designated the day with the aim to amplify and direct the efforts on the elimination of this practice.

In support to highlight the day and the horrific practice of FGM, IKWRO, a London-based human rights organisation for Middle Eastern, North African and Afghan women and girls living in the UK, is hosting Zero tolerance to female genital mutilation on 5 February 2024, 2 – 5 pm, in London at Resource for London, 356 Holloway Road, London N7 6PA.

The event brings together experts and survivors to shed light on the challenges and gaps in safeguarding women and girls globally in the context of FGM:

  • Payzee Mahmod, Campaign Manager at IKWRO
  • Naana Otoo-Oyortey, Executive Director of FORWARD, an African diaspora women’s rights organisation in the UK
  • Mama Sylla, an FGM survivor and chairwoman of La FRATERNITE UK, a London-based registered charity
  • Shamsa Araweelo, an FGM survivor and social activist
  • Janet Fyle, Royal College of Midwives’ (RCM) Professional Policy Advisor and a Cardiff University School of Policy Law accredited Expert Witness
  • Jaswant Kaur Narwal, Chief Crown Prosecutor
  • Aisha K. Gill, Ph.D., CBE is Professor of Criminology at University of Bristol
  • Detective Superintendent Alex Castle, Metropolitan Police and Lead Responsible Officer for Harmful Practices and co-chair of the London Harmful Practice Working Group

Speakers and attendees will engage in discussions about the pressing issues surrounding FGM such as the challenges and barriers to disclosure, reporting and prosecution and explore ways to bridge the existing gaps through policy changes, community involvement and institutional improvements.

For further information on the free event and to register, please see: Zero Tolerance to FGM Conference

Or please contact VISION Senior Research Fellow, Dr Ladan Hashemi at: ladan.hashemi@city.ac.uk

Photo by Joel Muniz on Unsplash

New Data Assessment Tool: Mitigating Risk of Bias – Ethnicity and Migration

 Dr Alexandria Innes

At UK Prevention Research Partnership (UKPRP) funded consortium VISION we have dedicated a workstream to studying the data gaps, analytical biases, and systemic blind spots that arise around questions of race, ethnicity and migration. We acknowledge that all research data is socially constructed. Asking questions about that process of construction can help researchers be aware of the biases and distortions that will arise when data are used uncritically and unreflectively.

Over the first two years of the project, we have considered the gaps in our own data, drawn on expertise and insight from our research team and associates, and drawn on a diverse array of methodological and disciplinary backgrounds. This research has allowed us to develop a tool to support researchers on our project and beyond to mitigate the risk of introducing or reproducing bias regarding ethnicity and migration in data, analysis and reporting findings. The tool initially responds specifically to administrative and survey data but can be adapted for use with any dataset.

The tool was conceived following consultation with VISION colleagues regarding the construction of ethnicity and migration data across the consortium. The objective was to produce the best quality data and analysis possible that could account for diversity and diverse experiences in the population. The VISION consortium is concerned with measuring violence: ethnicity and migration status are key areas where violence is underreported, which creates gaps in data. We found that existing datasets are unable to properly reflect diversity and inequality in the population and therefore cannot fully explain different experiences. Thus, we sought ways to prevent reproducing biases and data gaps within our analyses.

A collaborative workshop held by the Ethnicity and Migration research group initiated an iterative process of tool development. A meeting with the UKPRP Community of Practice for Race and Ethnicity specified feedback to the tool design. Extensive research of existing literature took place between September 2022 and March 2023 and was summarised into a companion document, both providing citations and further information.

A draft tool and companion document was shared with specialist service IMKAAN (a by-and-for service for minoritized women and girls at risk of violence) in July 2023 for consultative feedback.

I am pleased to announce the tool is now ready for circulation and use.

The tool comprises three parts:

  1. The first part offers guiding questions to assess the quality of a data set at the adoption stage, with regard to how well the dataset mitigates the potential biases that may be produced during data collection regarding ethnicity and migration. Researchers can apply the questions within this section to any dataset they are adopting, although it was designed particularly with survey data and administrative data in mind because these are the main datasets used in the VISION project.
  2. The second part of the tool guides the researcher in a reflective process that is intended to allow the researcher to assess the potential for internally held biases or structural and systemic biases to which they have been exposed affecting the data analysis.
  3. The third part asks researchers to consider the impact of reporting findings. The wording of publications might affect how the finds are interpreted or reported in the media, cited by other researchers, or circulated. Findings might also be misused. This final section of the tool offers some techniques for mitigating the misinterpretation or misuse of findings (although we acknowledge that this is often outside of researcher control).  

This document will evolve over time, therefore, we are keen for your feedback. If you download the tool and guide and use them, please let us know how you get on! Is the tool easy to use? Is the guide clear? How effective were they in helping you mitigate bias when working with your data? Please let us know by contacting Andri at Alexandria.innes@city.ac.uk. We look forward to hearing from you!

Download the assessment tool

Download the companion guide