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
Walmart says it's buying online men's clothing retailer Bonobos for $310 million in cash, showing that its appetite for hip clothing brands shows no sign of abating as it looks for ways to gain on Amazon. Walmart's trying to keep up with Amazon by buying online men's clothing retailer Bonobos.Bonobos, which started out selling pants online, caters to male shoppers looking for help putting together a wardrobe.Walmart's apparently dropping 310 million dollars in cash on the deal.It's a sign of the aggressive direction Wal-Mart is taking since buying Jet.com last year and keeping that company's founder as head of its online division.Wal-Mart has since bought clothing seller ModCloth, footwear retailer ShoeBuy.com and outdoor gear seller Moosejaw.All of those brands were targeted for their appeal to millenials.The Bonobos deal is expected to close at the end of the second quarter or the beginning of the third quarter of this fiscal year.
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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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