Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Simu Liu discusses his career, Asian empowerment and community. Actor, author and advocate Simu Liu will make his debut as the title character in Shang-Chi and the Legend of the Ten Rings. Directed by Destin Daniel Cretton and starring alongside Awkwafina, Tony Leung, and Michelle Yeoh, Liu makes history as the star of the first Asian-fronted movie in the Marvel Cinematic Universe. He also starred in the CBC/Netflix comedy series Kim's Convenience for five seasons, which was the first Canadian television series with an all-Asian lead cast and tells the day-to-day micro-dramas encountered by a Korean immigrant family that runs a corner grocery store. The series won the ACTRA Award for Outstanding Ensemble in 2017 and Best Comedy Series at the 2018 Canadian Screen Awards. Liu's first major role was on the critically acclaimed OMNI crime drama Blood and Water, the first trilingual series (English, Mandarin, and Cantonese) produced by Canadian television, for which he received nominations at the ACTRA Awards and Canadian Screen Awards. Aside from his performance on screen, Liu participated in the writing room for the series by contributing in the show's second season as a story editor and as the main writer for one episode. He most recently completed production on the adventure feature Arthur the King. Liu also stars in Lissette Feliciano's Women Is Losers, which will premiere at the 2021 SXSW Film Festival. His other film and television credits include ABC's Fresh Off the Boat, Comedy Central's Awkwafina Is Nora from Queens, NBC's Taken, and Amazon's The Expanse. Moderated by Yul Kwon. Visit g.co/talksatgoogle/SimuLiu to watch the video of this event.
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.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.790 | 0.014 |
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 it