To classify is human. Whether intentionally or not, we classify the world around us, though not all classification has the same level of impact. Throughout history and well into modern day, classification of people, from the apartheid regime in South Africa to gender classification of trans people, has had significant and sometimes devastating impact on individuals. This bachelor thesis examines the views of developers and recruiters regarding automatic classification of CVs within recruitment, and how these differ. Nine interviews with twelve informants – three developers and nine recruiters – form the empirical base of the thesis. A thematical analysis is applied and the results are presented in relation to the everyday consequences in Geoffrey C. Bowker and Susan Leigh Star’s (1999) theoretical perspective. Three main topics are discerned as common themes in the interviews: time saving, precision, and reliability. The differing focus on each theme in the respective professions is further discussed. The width of the study does not allow for a generalised view of the opinions of each profession but provides an interesting starting point for further studies within the field.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:lnu-84746 |
| Date | January 2019 |
| Creators | Klingborg, Jenny |
| Publisher | Linnéuniversitetet, Institutionen för kulturvetenskaper (KV) |
| Source Sets | DiVA Archive at Upsalla University |
| Language | Swedish |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
Page generated in 0.0021 seconds