A Salon with a Revolving Door: Virtual Community and the Space of Wom-po
Bibliographic record
Abstract
This essay argues for the importance of virtual networks to twenty-first century poetry by women by analyzing the “space” of Wom-po, an email list devoted to discussion of women's writing. Wom-po offers an example of computer-mediated communication among Anglophone poets from several continents, demonstrating the complex relations between web-based networks and geography. The group's fluctuating membership negotiates between an ideal of transnational sisterhood, in which common interests blur geopolitical boundaries, and the local circumstances that affect access, information, and the ability or willingness of poets to support one another's endeavors. That this group is defined by gender, moreover, suggests the persistence of bodies in words, whether on a screen, in live or recorded performance, or on the printed page. Relatively new networks such as Wom-po can create poetic connections that would have been difficult to sustain just a quarter-century ago. Even when communities aspire to egalitarian, transnational openness, however, they achieve it only imperfectly. This study illuminates where Wom-po takes place, or what space its members invent for themselves; how the list challenges national boundaries; and to what extent it continues to be defined by US literary culture. Transnational poetic community can exist and new technologies of poetic dissemination increase its chances of thriving. The case of Wom-po reveals both the limits of virtual networking for authors and the border-crossing literary world it makes possible.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.014 | 0.036 |
| Scholarly communication | 0.012 | 0.015 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".