Rotating along the Borderlands: Contextualizing Border Rurality Among Queer Transfronterizxs College Students
Bibliographic record
Abstract
Queer Transfronterizx students at rural higher education institutions experience an array of systemic and racialized inequities related to Queerphobia, residential nativism, and immigration challenges. Through a Critical Race Feminista Methodology (CRFM), seven Queer Transfronterizx college students engaged in testimonios and a Queer plática to shed light into the navigation of their rural higher education contexts and lived experiences. The findings note the collaborators’ experience of (1) endangered educational oases, (2) the dual identity isolation pertaining to Queer and Latinx belongings, (3) transborder hypervigilance emerged from border- crossings practices, and (4) a rural border flexibility that provides Queer privileges. Recommendations for practice and policy are provided, attending to responsiveness of colleges to serve this community.
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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 | 0.002 | 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 | 0.019 | 0.010 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".