Thinking against trauma binaries: the interdependence of personal and collective trauma in the narratives of Bosnian women rape survivors
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In this article, we draw on feminist trauma studies with the aim of deconstructing the theoretical and methodological binary between individual and collective trauma. Based on first-hand interviews with Bosnian survivors of rape, we attempt to ‘think against’ the private/public split that trauma studies work often unintentionally reifies. We draw upon recent methodological innovations that have been influenced by thinkers such as Derrida and Deleuze. Specifically, we work with what Jackson and Mazzei call rhizomatic and trace readings in the threshold. Through a rhizomatic and trace reading of narrative pieces extracted from the interviews, we engage with the following questions: 1) How do we theorise what Davoine and Gaudilliere call ‘the sociopolitical faultlines’ between collective/public accounts of trauma and those traditionally constructed as private/personal? 2) How do accounts of war rape, which narrate the eruption of the past into the present, elucidate the myriad links between the private and public in a number of ways; among others, the echoes or traces of the everyday ‘before’ in subjects’ stories of the monstrous ‘after’? And 3) What is the relationship between the ‘unspeakable’ in the traumatic memories of the survivors and the ‘speakable’ collective memories of traumatic humanmade events? How does the collective desire ‘not to know’ or ‘to forget’ impact on the individual survivor’s ability to reconstitute their post-trauma identity in a personal as well as a social context? The aim of the analysis is to show that the multifaceted nature of the traumatic reality demands a multifaceted approach that resists binary constructions relating to self/other, private/public, individual/collective.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it