Queer in Italian-North American Women Writers
Bibliographic record
Abstract
This article seeks to investigate the meaning of the term queer in the post-migratory setting of Italian-Canadian and Italian-North American women writers, and constitutes thus a contribution to recent studies which project the notion of queer within a diasporic framework. Specifically, it aims at analysing the ways in which the term has been recontextualised in this transnational context with reference to issues of ethnicity. Within cultural theory the concepts of ‘queer’ and ‘diaspora’ have been informed by post-modern and post-colonial theory and have intervened on theories of time, space and identity infusing them with notions of transgression, contingency, power and conflict. This study is based on the analysis of excerpts taken from short stories and poems in Curraggia: Writings by Women of Italian Descent, an anthology edited by three second generation Italian/Canadian lesbian and feminist writers (as they define themselves), published in 1998 by Women Press, a publishing house based in Toronto. Through these and other literary excerpts written by the same writers I would like to implement some previous studies (Fortier 1999, 2001, 2003; Gopinath 2003, 2005; Ahmed 2003, 2006) on the concept of queer in diasporic contexts.
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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.012 | 0.009 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".