Islamic studies and the arts
New research methodologies in working with refugees in Jordan
Bibliographic Data
| ID | 13021294 |
|---|---|
| Authors | Yafa Shanneik (0000-0002-3385-1616, University of Birmingham, corresponding author) |
| Year | 2018 |
| Volume | 3 |
| Issue | 2 |
| Pages | 157-162 |
| Publication date | 2018-07-03 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Contemporary Levant (JOURNAL) |
| Journal identifiers | ISSN: 2058-1831 • E-ISSN: 2058-184X |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/20581831.2018.1525242 |
| OpenAlex | W2895551087 |
| Language | EN |
| Citations received | 3 |
| References cited | 7 |
Since the outbreak of the Syrian war in 2011, more than 750,000 Syrians (UNHCR, 2018. Fact Sheet. Available from: https://reliefweb.int/report/jordan/unhcr-jordan-factsheet-february-2018 [Accessed 10 September 2018]) found refuge in Jordan. This paper discusses the use of Art as a research tool to examine Syrian women’s narratives of displacement, identity and home. By drawing the contours of their own bodies, through the use of the artistic technique of body mapping, women were able to share their personal memories of marriage, love and friendship but also more controversial issues such as marital relationships. Based on a pilot study on marriage and divorce practices among refugees in Jordan, this paper illustrates how body mapping techniques, as an innovative research method, allows refugee women to articulate the impact of their refugee experience on their understanding of gender roles in the new refugee context in Jordan
Art · Context (archaeology · Friendship · Geography · Identity (music · Islam · Middle East · Narrative · Palestinian refugees · Political science · Refugee · Social science · Sociology · Syrian refugees · The arts · Gender Studies · Jewish and Middle Eastern Studies · Law · Middle East Politics and Society · Participatory Visual Research Methods
| Unique citing works | 3 |
|---|---|
| Citations per year | 0.5 |
| Citation span | 2020 - 2026 (7) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 3 |