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
5itE 0099 MICHAEL Welcome to edition 0099 of Five in the Eye - 99 – Nearly End Of The Line as the Bingo callers say this this is me Michael Ohajuru in Colourful studio broadcasting from the Africa centre in London over the internet and DAB in Birmingham and Manchester. Phil’s in Canada on business this week so I’m joined by an old friend of the show Valentine Ogunba bringing the youth view to Five in the Eye Welcome Valentine! VALENTINE Hi Michael great to back on the show been a while! What have we got coming up ? MICHAEL Our number one story has to be Sulley Muntari sending off when he refused to accept any more racist chanting and the subsequent fallout. Did he do the right thing? Did the authorities do the right thing? Did the press do the right thing ? VALENTINE Big questions which need to be addressed as racism in football seems to be getting out of hand again. For story number two we’re looking at the French election result and what it might mean to us here in the UK MICHAEL Yes there are number of ways we can interpret the Franch result for us here in the UK. For story number three it’s our chance to look at one outcome of that sensssional fight between Our own Anthony Joshua and Wladimir Klitschko - what’s Joshua’s nationality? VALENTINE Good point - very much depends who you talk to and where they’re from! Our fourth story on Five in the Eye is about buses and how the CityMapper app is looking to redefine how we use the buses. MICHAEL I guess it’s a bit more than just putting your hand out at a request stop isn’t it !? Our fifth and final story this week brings together Twitter and a Chicken nugget record! VALENTINE A tweet from a chicken nugget that must be this week’s Five in the Eye ++++
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) | 0.863 | 0.035 |
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