Bibliographic record
Abstract
Below is a transcript of a 20-minute Zoom conversation that took place between me and my friend, Skylar Sookpaiboon (they/them), in which we discussed Erotic Pedagogy: an Instagram page (@eroticpedagogy) that we created to help PK-12 1 educators decolonize (or undo the colonialization of) sexual education (Fig. 1).The page features storytelling videos of Queer and Trans, Black, Indigenous, and People of Colour (QTBIPOC) across Central Southern Ontario 2 speaking to their past and current experiences of sexual education, sexual health, sexuality, and gender.Skylar filmed the stories, and I designed the project and curated the page.Storytellers were provided with seven prompts to draw from to facilitate their stories (see Appendix).1 PK-12 refers to 'from prekindergarten to 12 th grade.'It indicates the range of years during primary and secondary education that are publicly supported within so-called Canada. 2Central Southern Ontario is located within so-called Canada and is comprised of two adjoining subregions, colonially known (ck) as The Greater Toronto-Hamilton Area (GTHA) and Tri-Cities Guelph (TCG).These are some of the country's most densely populated and racially-ethnically diverse geographies, and they are widely known hubs of queer/queer of colour activism, art, and knowledge.Skylar and I are both located within the region and organize, create, learn, and teach across its many cities, although Skylar resides in Ottawa, and I currently live in the city ck as Burlington (on the southwest border of the GTHA).Skylar has stronger roots within TCG, having attended Wilfred Laurier in Waterloo (one of the Tri-Cities) for their undergraduate degree and the University of Guelph for their Master of Science degree.That said, Skylar immigrated to the city ck as New Market (at the northeast border of the GTHA) and now works at the Thai embassy in Ottawa.My roots are strongest in Tkaronto, having co-funded an originally Tkaronto-based food justice group called The People's Pantry (TPP) and completed my PhD at York University, Toronto.However, I expanded TPP across the GTHA and into TGC, and through that, have connections to the city of Mississauga (between Tkaronto and Oakville), Hamilton, Guelph, and Kitchener-Waterloo.I also have family living throughout Mississauga and now teach and research at the University of Guelph as a Banting Postdoctoral Fellow, while also doing contract teaching work for Sheridan College in the city ck as Brampton.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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; both teacher heads agree on what is shown here.
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".