TPT#246 - You Must Be Peter Pan (Aro Ace Mikayla)
Bibliographic record
Abstract
While we were at Gallifrey One, we got the opportunity to sit down with one member of the amazing queer Doctor Who pocast, The Web Of Queer. Mikayla is a non-binary aromantic asexual from Ontario, Canada. They were introduced to Doctor Who in 2007, when they started watching it out of self defence in their first year of university. Much to their surprise, they discovered that they actually liked the show everyone was talking about. We got to talking about the infighting among the LGBTQIA+ family and the exclusionary tendencies some folks express toward the Ace and Aro members, as well as the process by which Mikayla came to identify as non-binary and the commonalities of Jess' pansexuality, Mikayla's asexuality, and both of their gender-nonconformity.We are here to share our entire intersectional experience with anyone who finds it beneficial, but we want to know what you connect with the most. You can let us know by clicking to a one-question anonymous survey at vote.pollcode.com/32371374. If you have a request/suggestion that isn't listed, comment!We can be found online at TransPanTastic.net, you can email us at TransPanTastic@gmail.com, and \"TransPanTastic\" is searchable on most social networks. We would love to hear from you, so let us know what you think or what you want to hear about!
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.006 |
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".