“They’re All Honky Bros…”: Exploring Canadian Women of Color’s Experiences Using Geosocial Networking Applications
Bibliographic record
Abstract
Digital-sexual racism is mediated though geosocial networking applications (GSNAs), also known as dating/hookup apps. Digital-sexual racism seeks to explain how access to multiple profiles, emphasis on self-presentation, and increased anonymity found on GSNAs results in racism and discrimination for people of color. Scholars have started to explore digital-sexual racism on GSNAs; however, Canadian women of color (WOC) have not been included in this exploration to date. Informed by a feminist lens, we conducted focus groups with 12 WOC from Ontario, Canada, to explore how the intersection of their race/ethnicity, gender, and geographic location influenced their experience and engagement with GSNAs. We summarized our results as follows: (1) forms of digital-sexual racism, (2) influence of geography, and (3) sexism from men of color and immigrant men. We argue that the intersection of race, gender, and geographic location affords a unique experience between WOC/non-WOC and within the broad WOC category as well.
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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 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".