Bibliographic record
Abstract
In “Queering and Transing the Great Lakes: Filipino/a Tomboy Masculinities and Manhoods across Waters,” I use a Filipino/a queer trans (transnational/transgender/transwaters) and postcolonial approach to examine Nice Rodriguez's semiautobiographical fiction in his/her collection of short stories, Throw It to the River (1993). Based in Toronto, Canada (on Lake Ontario), from 1988 to 2004, Rodriguez, a self-identified Filipino/a tomboy writer, addresses themes of migration, immigration, displacement, and class/poverty; the US-Marcos dictatorship; queer desire, love, sexuality; and tomboy masculinities and manhoods in his/her stories. By critically reading Rodriguez's stories, in this essay, I also theorize how the Great Lakes or Great Lakes region functions as a transnational water-based border zone or crosscurrents space in the “(Upper) Midwest” that links Filipino sites in the diaspora such as Duluth, Minnesota, and Toronto, as well as how these waters also connect with other waterscapes in the Philippines such as the Pasig River and Manila Bay.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.012 | 0.016 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".