Remapping Academic Embodiment: A Phenomenological Perspective to Center Queer Students' Experiences
Bibliographic record
Abstract
In a contemporary academic landscape increasingly influenced by neoliberalism, this study highlights the enduring significance of university spaces for student queer communities as sites for both the reproduction of heterocisnormativity and queer community building. Within this context, the present research centers the embodied experiences of queer students to explore the presence and impact of power dynamics inscribed in academic spaces. Queer (Bell & Valentine, 1995; Johnston & Longhurst, 2010) and trans geographies (Nash, 2010) are at the forefront of this research due to their exploration of the tension between the body as a site of multi-scalar power dynamics and the intimacy of embodied queer emotions (Knopp, 2007). Ahmed's queer phenomenology (2006) is indispensable for its interpretation of orientation, disorientation, desire and embodiment as vectors of movement, action and experience in/of space. Focusing on two Montreal universities, the research seeks to answer a fundamental question: what does the embodied experience of queer students tell us about university spaces? This study uses sensitive and cognitive mapping (Gieseking, 2020; Olmedo, 2015) to center the embodied experiences of queer university students. Interpreted through the lens of queer phenomenology, the maps and qualitative interviews serve as creative research methods that contribute to the reconsideration of geography's theoretical and practical horizons. Key findings include unique campus trajectories shaped by the students’ identities, spatially perceivable tensions between the student body and the Administration, shared experiences of comfort and discomfort within specific contexts, and the utmost importance of student-led community spaces within universities.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.011 | 0.032 |
| Scholarly communication | 0.009 | 0.010 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.002 | 0.004 |
| 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".