‘Alimentary Assemblages’ at Intersections: Food, (Queer) Bodies, and Intersectionality in Marusya Bociurkiw’s<i>Comfort Food for Breakups: The Memoir of a Hungry Girl</i>(2007)
Bibliographic record
Abstract
Abstract Clearly devoted to the analysis of various issues of belonging, the work of Marusya Bociurkiw, a Ukrainian-Canadian queer writer, director, academic, and activist, examines culture, memory, history, and subjectivity in a fascinatingly unique way. Such a thematic composition is, however, not the only aspect that visibly marks and unities Bociurkiw’s multi-generic oeuvre; what clearly stands out as yet another distinguishing characteristic that Bociurkiw’s works have in common is the idea that seems to stand behind their creation – an impelling notion that “[t]o have one’s belonging lodged in a metaphor is voluptuous intrigue” (Brand 2001: 18). Consequently, what Bociurkiw’s works vividly portray is the writing-self “in search of its most resonant metaphor” (Brand 2001: 19). In one of her works,Comfort Food for Breakups: The Memoir of a Hungry Girl(2007), this metaphor is food as the art of food-making and the act of eating become here a crucial background against which the issues of belonging are played out. The aim of this article is thus to show how Bociurkiw finds her way of discussing various aspects of subjectivity by means of writing about food, whether about preparing it, tasting it, or recollecting its preparation and tastes. Ultimately, however, the article is to prove that food in Bociurkiw’s memoir not only reflects identity but is presented as a vital site of intersectionality. Thus, embedded in intersectionality discourse, and particularly instructed by Vivian May’sPursuing Intersectionality, Unsettling Dominant Imaginaries(2015), the analysis ofComfort Food for Breakupsis carried out from an interdisciplinary perspective because it is simultaneously grounded in food studies theory, i.e., the ideas developed by Elspeth Probyn inCarnal Appetites: FoodSexIdentities(2000), confirming, in this way, that vital connections can and should be made between the two, ostensibly unrelated, fields of study.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.020 | 0.036 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".