de Paz, Maya
(2022).
Investigating the ‘Professionally’ Dressed Bodies of Employees and Office Space: Interview Transcripts, 2020.
[Data Collection]. Colchester, Essex:
UK Data Service.
10.5255/UKDA-SN-855919
Data description (abstract)
This dataset consists of 17 transcripts of semi-structured, in-depth interviews with office workers in London, who are required to obey a dress code at work - ranging from ‘smart casual’ to ‘business professional’ attire. Fashion bloggers were also interviewed as they specialised in workwear style and gave the project a deeper understanding of the link between identity and appearance.
The research examines the highly political battleground that is the office space, whereby non-binary individuals, transgender folks, and cisgender women’s identities and bodies are often rejected from the space. The interviews cover employee experiences of office dress code discriminations, motivations surrounding choice of dress for different working days, as well as opinions surrounding the link between professionalism and dress.
The project sought to demonstrate how strict corporate dress codes, moreover ‘business professional’ dress codes, reinforce certain forms of oppression for those that do not identify as cisgender, masculine-presenting men. Whereas a ‘smart casual’ dress code, that allows for more flexibility in employee gender expression, may actually be supportive for individuals occupying historically marginalized identities.
Data creators: |
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Sponsors: |
N/A
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Topic classification: |
Social stratification and groupings Labour and employment Society and culture
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Keywords: |
GENDER IDENTITY, GENDER ROLE, EMPLOYEES, PROFESSIONAL STANDARDS, CLOTHING
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Date published: |
07 Sep 2022 10:34
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Last modified: |
07 Sep 2022 10:34
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Collection period: |
Date from: | Date to: |
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9 June 2020 | 20 August 2020 |
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Geographical area: |
London; UK, Massachusetts; USA, Brisbane; Australia, New York; USA, Arkansas; USA |
Country: |
United Kingdom, United States, Australia |
Data collection method: |
This dataset consists of 17 transcripts of semi-structured, in-depth interviews with office workers in London, who are required to obey a dress code at work - ranging from ‘smart casual’ to ‘business professional’ attire. Fashion bloggers were also interviewed as they specialised in workwear style and gave the project a deeper understanding of the link between identity and appearance. Fourteen of these participants were gathered using a combination of both convenience and snowball sampling. The other nine participants were recruited via a netnography method by using social media platforms, such as Instagram, to help find fashion blogger participants. This data collection comprises 22 in-depth, semi-structured interviews with a variety of different of employees, from different job sector backgrounds. The interviews explore themes surrounding the bodies relationship with space, specifically the corporately dressed body in the workplace. |
Observation unit: |
Individual |
Kind of data: |
Text |
Type of data: |
Qualitative and mixed methods data |
Resource language: |
English |
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Data sourcing, processing and preparation: |
This is a primary source of data. This data collection comprises 22 in-depth, semi-structured interviews with a variety of different of employees, from different job sector backgrounds. Fourteen of these participants were gathered using a combination of both convenience and snowball sampling. The other nine participants were recruited via a netnography method by using social media platforms, such as Instagram, to help find fashion blogger participants.
Changes were made to the London office worker participants (sourced by convenience & snowball sampling) via the anonymisation of their first names. They were all given different names created by an online name allocator. The blogger participants names/usernames were not anonymised as they have public Instagram accounts so it is open source. This was all done consensually.
17 transcripts have been archived in accordance with consent obtained.
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Rights owners: |
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Contact: |
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Notes on access: |
The Data Collection is available for download to users registered with the UK Data Service.
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Publisher: |
UK Data Service
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Last modified: |
07 Sep 2022 10:34
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