Editor's Column—Remembering Patsy Yaeger: Her Work and Its Influence
Bibliographic record
Abstract
scholar and, for ive years, the editor of PMLA. As editor of the journal, she opened its pages to a diversity of voices, reached beyond the borders of North America to seek new readers and contributors, and used the Editor's Column to mark new directions in scholarship and research. On 9 January 2015 some of Patsy's former colleagues, associates, and students gathered in Vancouver, Canada, to pay homage to her work, to assess its inluence, and to remember moments shared in the classroom, the conference hall, and the pages of PMLA. When I heard that Patsy had died, I recalled her presence and inimitable style through her mode of walking. Patsy loved to walk. As we strode through the streets of New York, from Midtown to Wall Street, she would remind me that each city had its own walking style, that the trick to surviving and thriving in crowded city streets was to anticipate the movement of others. So I came to associate Patsy with the "walking rhetoric" described by Michel de Certeau in he Practice of Everyday Life: he walking of passers-by ofers a series of turns (tours) and detours that can be compared to "turns of phrase" or "stylistic igures." here is a rhetoric of walking. he art of "turning" phrases inds an equivalent in an art of composing a path (tourner un parcours). Like ordinary language this art implies and combines styles and uses. Style speciies a linguistic structure that manifests on the symbolic level . . . an individual's fundamental way of being in the world; it connotes a singular. Use deines the social phenomenon through which a system of communication
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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".