Bibliographic record
Abstract
Beyond the Bow is an app for the LGBTQ+ community which will allow users to find queer events in their areas, get involved, circulate information, and help foster and build physical queer spaces in the GTA. Connection of strangers and self-organization of the queer community is what allows for the growth of queer spaces in society and sustains the physical queer geography of cities. Development of this app will cultivate and expand public discourse and support member activity in our community, which is necessary to ensure the prosperity and maintenance of our public. This digital solution is informed by research conducted through participant observation, autoethnography, and discourse analysis. The work is grounded in queer theory. Beyond the Bow will allow for communication in a new, modernized way within the LGBTQ+ community, and help reshape our culture by creating and maintaining real-life connections and queer geography through mediated communication and virtual community-building tools. The overall goal of Beyond the Bow is to offer users an accessible virtual place, that will work as a gateway into our physical queer spaces by providing resources and information surrounding on-going activities and initiatives, thus enhancing member participation and promoting the success of our 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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.006 | 0.014 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.063 | 0.013 |
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".