FTH Beyond: Marvel Strikeforce 47 "They kind of Screwed Us..."
Bibliographic record
Abstract
Another Fine Podcast on the Giant Size Team Up Network Hosts:  Charles McFall and Kurt Boutin Week of: March 2nd, 2019 Support the show by leaving us a 5-star review on iTunes! (Or your preferred Pod-Catcher) Merch!  Buy our  Merch!  Get a  T-Shirt!   Get All The Mugs! Stickers! TOPICS THIS WEEK - * Marvel Movie Talk* Reset Talk* Carnage Blitz* Do Your LANES* Alliance War is coming... Maybe* Blitz Talk* Raid Talk* Offer Talk* Minerva Event* YOU get a Captain Marvel, and YOU get a Captain Marvel... Maybe* Quarter Blitz You can Watch the recording of FTH Beyond live every week on Thursday at  Twitch     We love this game and community so we promise to always be honest about what we think and to be reasonable in our analysis. Catch us every week on Thursday for the recording of the podcast (Watch Kurtstable play live on Monday nights) Get in Touch by Speakpipe on our Webpage! Send us your thoughts    (by email!  Not in that weird telepathic way) End Credits * Hosts:  Charles (RGoP) McFall ,  Kurt (Kurtstable) Boutin * Publisher/Post Producer/Editor at Large:  Mike Woodard * Publisher In Absentia:   Chris Wisdom FTH: Beyond is brought to you by the  Giant-Size Team-Up Network You can Watch the recording of FTH Beyond live every week on Thursday at  Twitch   --- Send in a voice message: https://anchor.fm/fthbeyond/messageSupport this podcast: https://anchor.fm/fthbeyond/support
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.591 | 0.014 |
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".