Episode 3 Vomiting Down Hollywood Boulevard ( Part 1)
Bibliographic record
Abstract
On this week's Mouse Rants we tear apart the counter service selections in The Studios and watch as Starbucks opens next to yet another mom and pop store (Starring Rolls) to obviously put them out of business.. - Resorts that remind us of our apartments - Non-handicapped ECV users on the Disney buses - We cannot control Segways - Don Nazi - Cawfee Tawk - Starbucks in Walt Disney World - Royal Anandapur Tea Companies extinct cookies - Jerry reads a hate mail and screams at a bitch - Food & Snacks around the Studios - from Hollywood Boulevard to Streets of America - Please send all comments, questions, concerns thoughts, musings and hate mail to us via the Contact Form. Click on Hate Mail, follow the instructions you've seen a million times before and voila!! ! Check out the Canadian PSA we discussed.... here ----> https://www.youtube.com/watch?v=ugTeOz7rsgE
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.
How this classification was reachedexpand
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) | 0.768 | 0.070 |
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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".