Bibliographic record
Abstract
This paper looks to the ways in which memory works as an ongoing force within disrupted and displaced lives. Based on storytelling and conversations with family, I tie together the mundane and everyday experiences of living and leaving Zenica, Bosnia and Herzegovina during the Yugoslav Wars of Secession. Here, in the banal moments of disrupted lives, the waiting and going-on that mark an everyday struggle for survival and wellbeing extends into the present. An autoethnographic working, this paper adapts personal and generational experiences to discuss the complexity of war and migration. In doing so, this paper highlights how the effects of war and migration processes, including feelings of fear and uncertainty, remain active hauntings. Tales and retellings come to demonstrate the debris that lingers as forces of history, drawing the body through memory production passed on generationally through remnants like memory, habit, and language. This paper illustrates the messiness of such traces, where storytelling and memory work come to reflect the normalized yet innately disordered life. Ultimately, moving away from seeing the debris of war and refuge as wholly disruptive and violent, this paper instead focuses on how the workings of temporality and storytelling within the migratory experience reveal active modes of being-in-the-world. In such modes, memory and storytelling evidence durational or nonlinear temporalities, as the past mundane experiences of survival continue within the present.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.025 |
| Scholarly communication | 0.009 | 0.012 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.014 | 0.002 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".