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Record W1535328641 · doi:10.1353/tsw.2007.a220825

Treason Our Text: A Preposthumous View

2007· article· en· W1535328641 on OpenAlexaboutno aff
Lillian S. Robinson, Douglas Michael Massing

Bibliographic record

VenueTulsa Studies in Women s Literature · 2007
Typearticle
Languageen
FieldArts and Humanities
TopicPoetry Analysis and Criticism
Canadian institutionsnot available
Fundersnot available
KeywordsPunctuationNephew and nieceContext (archaeology)SociologyLiteraturePsychologyHistoryArtPhilosophyLinguistics

Abstract

fetched live from OpenAlex

Treason Our Text:A Preposthumous View Lillian S. Robinson (bio) and Douglas Michael Massing (bio) This essay is unfinished because it was composed by Lillian S. Robinson as she was in the palliative care unit, struggling through the final stages of ovarian cancer. Douglas Michael Massing, her friend and former assistant, helped Robinson as she worked on this project from her hospital bed, and he arranged the results of her composition into the text below. The text comprises Robinson's own words, and she orally approved a draft of it that was read back to her, although with the hope that she could continue to work on what she saw as an essay in progress. Massing wrote the endnotes and afterword, which provide some clarification and context. I have edited it very lightly, making a few changes in paragraphing, dividing some long sentences into two, and correcting some punctuation. My goal was to correct errors and to translate what had been composed in an oral format into the medium of print, while interfering as little as possible with Robinson's voice. In making these changes I have consulted with Massing and with Lillian Robinson's nephew and literary executor, Greg Robinson, Associate Professor of History, Université du Québec À Montréal. I thank them both for entrusting Tulsa Studies in Women's Literature with Lillian's last publication, and I hope the following text does indeed convey what she wanted to say. Laura M. Stevens "Treason Our Text: Feminist Challenges to the Literary Canon," begins the exploration of a position on canonizing: how we go about thinking about the literary canon. It is an "outsider's" way of looking at the canon, which first brings in the issue of class, then complicates it with questions of race and sexuality.1 Over the years, it has become the most anthologized and cited of my works: some dozen reprints are known, including translations into Spanish and Hungarian.2 I think the reason it became sort of the piece on this subject—ironically—is that it's written for an elite academic audience and its quotations come from the canon. So the definition of the canon as nonelitist comes through language that is elite. I was at the University of Tulsa for a semester teaching one course on this material, which had been solicited for a canons issue of Critical Inquiry, but when I wrote and submitted an article, they turned it down. Shari Benstock, then the editor of Tulsa Studies, asked if I had anything on the canon and was [End Page 23] handed this (and I think would have used whatever it was).3 So it became a defining piece for what Tulsa Studies was: a way of taking their mission into more recent material and stuff not solely confined to gender issues but rather the interaction between gender and other categories, as I had been exploring in Sex, Class, and Culture.4 "Treason Our Text" was followed three years later by "Is There Class in This Text?" my review of Sandra M. Gilbert and Susan Gubar's The Norton Anthology of Women's Literature.5 It struck a chord in part because people, particularly women of Hispanic origin, were raising the same questions as they developed a growing body of English-language material on the Hispanic experience that was signaling a change in the discourse on women's literature. My piece that continued where "Is There Class in This Text?" left off, "The Queens' Necklace," further developed that discourse.6 My present sense is, however, an ironic one, that this series of pieces became a source of that discourse in part because it was done in a very literary way through basically the joke, the play on words, on the canon. It started with "Canon Fathers and Myth Universe" and increasingly over the years developed that play on words from earlier tropes of struggle—"Treason Our Text," "Feminist Criticism: How Do We Know When We've Won?"—to such titles as "Their Canon, Our Arsenal" and eventually [to] my collection of essays in this area, In the Canon's Mouth.7 This wordplay of course invokes the power of words...

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 imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.020
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0150.030
Scholarly communication0.0180.016
Open science0.0030.006
Research integrity0.0100.025
Insufficient payload (model declined to judge)0.0160.006

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.

Opus teacher head0.032
GPT teacher head0.316
Teacher spread0.284 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations1
Published2007
Admission routes1
Has abstractyes

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