Trauma, Testimony, Trascendence: Representing Diaspora in New Canadian Literature
Bibliographic record
Abstract
As Shoshana Felman and a host of other scholars have argued, our era has been marked by individual and collective suffering on a scale unprecedented in human history. We seem to exist in an almost perpetual state of witness, mourning and memorial: that is, of testimony. Felman focuses on Jewish efforts to come to terms with the horrors of the Shoah. But for others, Auschwitz has its traumatic analogues; a partial litany of atrocities involving the west, at least, would include Wounded Knee, Paschaendale, Armenia, Dresden, Hiroshima, Gulag, Apartheid, Los Desaparecidos, Cambodia, Bhopal, and more recently, Bosnia, Rwanda, and now the complicated sequence of events surrounding ‘9/11’ and Iraq.
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How this classification was reachedexpand
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".