Youth, Dirt, and the Spatialization of Subjectivity: An Intersectional Approach to White Rural Imaginaries
Bibliographic record
Abstract
Abstract. Canada’s rural idyll is embedded within the colonial legacy of a white settler society; however, little research has examined how class and gender uphold this articulation of rurality and whiteness. This article draws on ethnographic research with white, working-class rural youth to develop an intersectional analysis of rural imaginaries. The analysis shows how youth construct their own rural identities through racialized representations of urban and global “others.” I argue that these racist place-narratives must be understood in the context of competing discourses of rurality in Canada: the romanticized pure white rural of colonial history, and the pathologized poor white rural of a cosmopolitan future. Even as youth locate their gendered performances within the rural idyll, they are marked as “dirts” by their classed, rural status. By inscribing racist discourses onto others, youth resist the classist imagery projected onto their community and thereby re- claim a pure white rural idyll.
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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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.028 | 0.056 |
| Scholarly communication | 0.017 | 0.005 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.001 | 0.003 |
| 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".