TFP BBQ Ep. 73 - Wayne Baker of Baker Boys BBQ
Bibliographic record
Abstract
Wayne Baker grew up in Luling, Texas eating classic central style barbecue. His youth was also spent competing in BBQ cookoffs with his dad Phil. Both of these experiences helped shape what would eventually become Baker Boys BBQ, opened in Gonzales, Texas in 2015. Serving traditional Texas BBQ staples like brisket, ribs, and housemade sausage combined with unique offerings like their acclaimed stuffed chicken leg, Baker Boys has been a welcome addition to the barbecue scene. Wayne and Phil Baker cook their meats on gravity fed Stumps charcoal smokers ( https://stumpssmokers.com/ ) which provide a consistent heat and different flavor to the meats than is normally found in Texas 'cue.Catch them online atFacebook: https://www.facebook.com/BakerBoysBBQ/Twitter: https://twitter.com/bakerboysbbqBaker Boys BBQ1404 N Sarah Dewitt DrGonzales, TexasMonday - Friday 10am - 6pmSaturday 10am - 4pm
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) | 0.433 | 0.029 |
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".