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
Appears on Flickr , DeviantArt , Instagram . 622_7291.NEF - original raw file 622_7291 2021-11-24 edit1 - first edit in Lightroom Classic 11.0, published version .xmp file - Lightroom sidecar file .dng file - Lightroom digital negative file The rest are rejects Flickr/DeviantArt description: I have not been to the famous Toronto sign downtown for quite some time now, so it's good to be back. Originally intended to be a temporary fixture during the 2015 Pan-American Games, it has since become one of the iconic symbols of Toronto. Instagram description: Respects to the famous sign. Also someone's bike. Instagram alt text: The iconic Toronto sign in front of city hall at night. Date Taken: Nov 24, 2021, 8:47:08 PM EST Camera: Nikon D500 Lens: AF-S DX Nikkor 35mm f/1.8G Shutter Speed: 1/60 sec Aperture: f/1.8 ISO Speed: 450 Focal Length: 35mm (fixed) Flash: Off, did not fire
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.834 | 0.107 |
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