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
My family and I went on an All-Inclusive Vacation to Cuba! Yes, I am Canadian and I can travel to Cuba!I have to admit, I am not a fan of going to an All-Inclusive because of all the bad stuff that is associated with big resorts:The building of the resort often destroys the coastal environment for a pristine landscape that people expect (what they see in a magazine);The waste that happens at the resort with food and garbage; and,The local reefs and environment suffer at the hands of tourism for the masses.I was pleasantly surprised to see that the three assumptions above were not true...well mostly. I tell you how the resort and Cuba made it possible to have a great resort(s) and have a healthy environment. Speak Up For Blue TV:http://bit.ly/sufbteleSupport the Podcast: http://www.speakupforblue.com/patreonShop for the Ocean: http://www.speakupforblue.com/shop10 Ocean Tips to Conserve the Ocean: http://www.speakupforblue.com/wordpress/sufb_optinpdfShow Notes: http://www.speakupforblue.com/session156
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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