Intimate encounters with violence: media and trauma in the work of Phyllis Webb and Daphne Marlatt
Bibliographic record
Abstract
This dissertation looks at the work of Phyllis Webb and Daphne Marlatt, two West Coast Canadian poets who explored questions of media technologies and trauma violence in their work during the latter half of the twentieth century. This thesis takes up contemporary phenomenological and feminist analyses of the connections between media technologies and trauma, especially war violence, in relation to both the creative and practical careers of these two writers. Research into the histories of media technologies such as the letter, radio, photography, and television shows how these technologies have shaped our experience of violence both globally and locally, from nineteenth-century colonial garrisons in Canada to the internment of Japanese Canadians during the Second World War to the 1991 Gulf War. Ultimately, this dissertation suggests that these two poets offer new phenomenological interpretations of the ways in which media technologies shape our perception of historical, hidden traumas.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.045 | 0.050 |
| Scholarly communication | 0.018 | 0.009 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".