Bibliographic record
Abstract
Tonight we were joined by @DerickjThompson to talk about his mission to shut down the GuZoo located in Three Hills, Alberta, Canada. He tells us about the history of the GuZoo, how its ran by a dickhead that originally kept animals to sell their furs, the terrible living conditions the animals there live in, the recent protests in support of shutting it down, and he mentions the petition they have set up at http://www.change.org/en-CA/petitions/revoke-the-guzoo-operating-license-shut-it-down Anyone that's listens to this, please help the cause take two minutes and sign it. After our chat with Derick we are joined again by OG "Natalie" and we talk about the usual dumb shit. Listen, Learn, and Laugh Fuckers!! Songs played in this order: Voice Of The Voiceless - Rage Against The Machine Protoman - Emmure Californication - Red Hot Chili Peppers Penelopes Of The World - Sacha Talens
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) | 0.367 | 0.015 |
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".