Gaze: A Digital Tool Designed for the LGBTQ+ Community to Confidently Navigate and Interact in Public Spaces
Bibliographic record
Abstract
<p>Members of the LGBTQ+ community are often on the lookout for spaces where they can freely express themselves without fear. These spaces include LGBTQ+ inclusive businesses, events, community centres, and organizations that are active advocates all year round towards a framework that supports equity, diversity, accessibility, and inclusion. Many people in the community operate from a scarcity mindset. It is a mindset that stems from the lack of spaces and the inaccessibility and difficulty of finding these spaces. This research paper and creative artefact, Gaze, focuses on promoting safe and inclusive spaces catered to Toronto's LGBTQ+ population, making them easier to identify and navigate. Toronto is home to Canada's largest LGBTQ+ population, and throughout the year, this community celebrates its creativity and diversity through various organizations and events. The creative artefact, Gaze, proposes to design a mobile application that combines services relative to digital directories, social media networks, and wayfinding technology. The goal is to enable the LGBTQ+ community to confidently navigate and interact in public spaces that prioritize their safety and embrace and empower those entrepreneurs who create them. With Gaze, there is potential to reflect the true diversity of Toronto's frequently overlooked LGBTQ+ population.</p>
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.000 | 0.002 |
| 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".