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
Episode 045: On April 12, 2016 after skipping school, which was allegedly uncharacteristic, 16-year-old Mekayla Bali disappeared from Yorkton, Saskatchewan. She has not been seen, definitively, since. "Mekayla is described as a Caucasian female, approximately 5'2" tall and weighs approximately 114 lbs, with blonde hair and blue eyes. She is known to change her appearance: she has red-ish hair which can be dyed blonde or other colours and she wears her hair down, pulled back, straight or wavy. She sometimes wears dark rimmed (teal) glasses and a teal/mint coloured infinity scarf. When Mekayla was reported missing she was 16-years-old; she has since turned 17-years-old. Mekayla also goes by the name Mekayla NIEBERGALL." from SaskCrimestoppers Sources: RCMP Missing Mekayla BaliInterpol Mekayla BaliRCMP VideoRCMP Press Conference April 2016RCMP Press Conference July 2016Our Story: Mekayla Bali: Missing Since Apr 12, 2016GloblalTV: I feel that I have failed you: mother asks for help finding Mekayla BaliReddit: Unresolved Mysteries / Mekayla Bali CaseCalgary Possible SightingAmber Alert CriteriaDaughterProject.caBringMekaylaBaliHome.comNighttime Podcast - Where is Mekayla Bali?True Crime Talk - Missing Mekayla Bali - Facebook Group Support the show: https://www.patreon.com/darkpoutine See omnystudio.com/policies/listener for privacy information.
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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.558 | 0.011 |
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