Bibliographic record
Abstract
The main, private repository of the late West Coast poet, activist, and arts administrator Pat Lowther (1935-1975) raises both significant concerns and questions for biographers, researchers, and theorists of the archive—questions and concerns that are, to some degree, inextricably linked to the history of Roy Armstrong Lowther, the husband who murdered Pat Lowther (and who both “recycled” and introduced as courtroom “evidence” some of her papers during the criminal investigation into her death). After presenting a brief overview of the nature and scope of these archival materials, this essay will trace some of the pragmatic and theoretical implications—ethical, legal, political, and hermeneutic—of working with Pat Lowther’s literary remains. Special attention will be given to outlining how the papers of Pat (and Roy) Lowther re-articulate theoretical accounts of certain “internal contradiction[s]” structuring the archive: how they lay bare tensions between archival “conservation" and “destruction”; and how they quite literally underscore the relevance of the archive as both a site of law and of the law’s “suspension” (Derrida 1995, 19; Grimm 2003, 110).
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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.015 | 0.005 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.016 | 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".