Bibliographic record
Abstract
Xavier Gould is a trans, non-binary, and multidisciplinary artist from Shédiac, New Brunswick. They work mainly in performance art, such as drag and filmmaking, but also write poetry through which they explore the existence of queer identities in an Acadian cultural setting that is marked by cisheteronormative histories. Through their art, they aim at challenging the “social norms of contemporary Acadian identity to include people from the queer community” (Gould, 2020a). Gould’s trans francophone identity is a strength in their art, and they have made their mark on the Acadian art scene through their unapologetic use of chiac to express their queerness. In this essay, I argue that Gould is world-making through their active engagement with questions of identity, place, and language in their poetry. World-making has been discussed by feminist scholar Sara Ahmed (2017) as the making of a “world out of the shattered pieces even when we shatter the pieces or even when we are the shattered pieces” (p. 261). It is with this understanding of world-making that I tackle the work of Xavier Gould and explore how their “texts are worlds'' (Ahmed, p. 14), but also how they create worlds; they are interested in rewriting relationships to history and land and building solidarity across communities. Acadian voices, as a linguistic minority, have not gotten recognition at the national level. Diverse Acadian representation is important for Canada; since it would legitimize the stories and cultural contributions of people whose voices are rarely heard.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.011 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.039 | 0.006 |
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.
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".