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
Canoe-borne bandits strike an underwater town. A new generation of wealthy lobstermen is minted. An island disappears. And hellfire engulfs a highway jammed with broken heroes on a last chance power drive. Just another normal day amidst Canada's climate catastrophe. Featured in this episode: Catherine Griwkowsky (Alberta Today), Brendan Kennedy (Toronto Star), Keith Stewart (Greenpeace), Markus Harvey. This is the final episode in the series COMMONS: CRUDE. To hear the rest, subscribe to COMMONS. To learn more: 'There will be floods' by Brendan Kennedy in the Toronto Star 'Big Oil braced for global warming while it fought regulations' by Amy Lieberman and Susanne Rust in the Los Angeles Times 'When climate change hits home' by Nick Purdon in CBC News Additional music: 'A List of Ways to Die' by Lee Rosevere, 'Night Owl' by Broke for Free, 'Drop of Water in the Ocean' by Broke for Free, and 'Cylinder Five' by Chris Zabriskie, adapted. This show was brought to you by our patrons. Please consider becoming a monthly supporter.
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) | 0.436 | 0.055 |
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