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
I hope everyone out there will know by now about how I, Summer Holly Love, finally persuaded my mum to let me have a wonderful golden Labrador puppy of my own named Honey. (If you are not aware of this, you can read all about it in The Puppy Plan, a fascinating and frankly gripping account of the Said Event.) \n \nAnyway, things have Moved On since those early days of dog-ownership. Honey went through a bit of a Difficult Phase recently, developing a taste for shoes (mainly flip-flops) and terrorizing dinner guests. So, to help her through her Awkward Adolescence, I dutifully (and brilliantly) trained her at Obedience Class and in the garden. And, hurrah! Honey's amazing talents shone through just in time for our School Talent Content, where we performed our 'Pup Idol' star act - and became Famous Celebrities in Our Own Right!
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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.003 |
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