Bibliographic record
Abstract
This qualitative study analyzes interview data with 12 Queer adults living in rural communities in one New England state in the United States. The paper determines how, if at all, participants implement resistant tactics, as defined by de Certeau, to navigate digital and physical spaces. Previous research on Queer rural spaces challenges metronormativity by showing that many Queer people make happy homes in rural communities (Gray, 2009; Schweighofer, 2016). Research into Queer rural communities challenges the established parallels between the metaphorical move from in-the-closet to coming out and the physical move from rural community to urban space. This study goes a step further by intertwining information practice with Queer rural space. The findings indicate that participants did use a range of resistant tactics, including 1) using digital space to resist gentrification, 2) engaging in rural communities as communities of care, and 3) leveraging digital space to build Queer communities amid disappearing queer spaces.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".