Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Click to increase image sizeClick to decrease image size Notes 1. Karen Vasby Anderson, “Hillary Rodham Clinton as ‘Madonna’: The Role of Metaphor and Oxymoron in Image Restoration,” Women's Studies in Communication 25 (2002): 1–24; Mary Ellen Brown, “Feminism and Cultural Politics: Television Audiences and Hillary Rodham Clinton,” Political Communication 14 (1997): 255–70; Keith V. Erickson and Stephanie Thomson, “Seduction Theory and the Recovery of Feminine Aesthetics: Implications for Rhetorical Criticism,” Communication Quarterly 52 (2004): 300–19; Shawn J. Parry-Giles, “Mediating Hillary Clinton: Television News Practices and Image-Making in the Postmodern Age,” Critical Studies in Media Communication 17 (2000): 205–26. 2. Karlyn Kohrs Campbell, “The Discursive Performance of Femininity: Hating Hillary,” Rhetoric and Public Affairs 1 (1998): 6. 3. Parry-Giles, 206. 4. “Gnotes,” Glamour Magazine, June 1993: 133. 5. Judith Butler, Gender Trouble (New York: Routledge, 1990), 23. 6. Butler, 173. 7. Jennifer Craik, The Face of Fashion: Cultural Studies in Fashion (New York: Routledge, 1994), 204. 8. Fred Davis, “Clothing and Fashion as Communication,” in The Psychology of Fashion, ed. Michael R. Solomon (Lexington, MA: Lexington Books, 1985), 24. 9. Leslie Bennetts, “Pinning Down Hillary,” Vanity Fair, June 1994: 160. 10. Martha Sherrill, “Hillary Rodham Clinton,” Mirabella, June 1994: 80. 11. “The Week's Best Late Night Laughs,” Toronto Sun, 1 July 2007: 83. 12. “Laugh Lines,” New York Times, 18 February 2008: 2. 13. Ellis Henican, “There's a Little Hil in Us All,” Newsday, 10 February 2008: A2; Johnathan Darman, “How They Have Lost,” Newsweek, 3 March 2008: 28; Liz Smith, “News,” Daily Variety, 1 November 2007: 4. 14. Dan Janison, “Spin Cycle: Tossing Out Those Gender Stereotypes,” Newsday, 19 November 2007: A20. 15. Tina Brown, “Hillary and the Invisible Women,” Newsweek, 17 March 2008: 28. 16. Michael McAuliff and Ian Bishop, “A Fiery Hillary Goes on the Attack,” Daily News, 16 November 2007: 15; “Around the Water Cooler: Later Night Comics,” Good Morning America, ABC, 5 February 2008. 17. Jane Ridley, “Another Pol's Wife Wearing ‘Stand by Man’ Suit,” Daily News, 11 March 2008: 8. 18. Maureen Dowd, “Duel of Historical Guilts,” New York Times, 5 March 2008: A23. 19. Robin Givhan, “Hillary Clinton's Tentative Dip Into New Neckline Territory,” Washington Post, 20 July 2007: C01. 20. Joe Strupp, “Cleavage Column Draws Critiques and Support, and an Ombudsman's Defense,” Editor & Publisher, 30 July 2007. 21. Butler, 25. Additional informationNotes on contributorsRoseann M. MandziukRoseann M. Mandziuk is Professor of Communication Studies at Texas State University. She has published a variety of critical works, including feminist analyses of media discourse and rhetorical studies of Sojourner Truth, and is currently working on a project about public memory in women's history museums
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.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| 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 it