The Topography of Mourning in Barbara Honigmann's Eine Liebe aus Nichts
Bibliographic record
Abstract
In her 1991 narrative Eine Liebe aus nichts, Barbara Honigmann maps a literary landscape marked by cultural, religious, linguistic, geographic, and temporal borders. Like author, text's first-person narrator is a German Jew who emigrates from (East) Berlin to France, only to reverse her course a few months later to attend her father's funeral in Weimar. In this movement away from and towards home, narrator traverses an affective topography of lost places, people, and pasts along a route that traces parental stories of exile and return. Describing process of writing this text, Honigmann remarks how she approached and distanced herself from her father as she worked through their conflicted relationship: Nach dem Tod meines Vaters habe ich ein Buch geschrieben, uber ihn und uber mich und unsere verfehlte Liebe, seine vielfachen Ehen und die Orte und Stationen seines Lebens. Ich erinnerte mich und phantasierte uber alles, was zwischen uns war, und naherte und entfernte mich von ihm, wie es im Leben nicht moglich gewesen war (Graber 33). This motion towards and away from lost object characterizes literary acts of mourning. Writing a parent's death in literary form, Nancy K. Miller states, displays both steps toward separation and tortuous paths of reconnection, after fact. Grieving and release (7). Reading Eine Liebe aus nichts as a work of mourning draws attention to myriad ways that loss – of father, of community, of Heimat – structures narrative.' Both mourning and exile are forms of loss typified by movement and displacement. In his classic essay Mourning and Melancholia, Sigmund Freud points to this similarity, describing mourning as the reaction to loss of a loved person, or to loss of some abstraction which has taken place of one, such as one's country, liberty, an ideal, and so on (243). Freud illuminates basic psychodynamic process of mourning, long and painful memory work involved in coming to terms with loss. Through a process of activating and working through individual memories, emotional energy gradually becomes
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.022 | 0.010 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".