Sears to close more stores, sales continue fall in 2Q
Bibliographic record
Abstract
Sears continued to struggle in its second quarter with declining sales amid heightened competition from the likes of Walmart to Amazon. It now says it will close even more stores Sears plans to close more stores, as it deals with declining sales amid heightened competition from companies like Walmart and Amazon.The company, which operates Sears and Kmart stores, has been trying to cut costs by closing stores, including 180 this year.It had already had plans to cut another 150 stores.It now plans to close an additional 28 Kmart stores.Sales continued to decline for the retailer in the second quarter.It says its second-quarter loss narrowed to $251 million, or $2.34 per share.Revenue fell 23 percent to $4.37 billion in the period.Sales at stores open at least a year, a key measure of a retailer's health, dropped 11.5 percent.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.012 | 0.004 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.016 | 0.010 |
| Insufficient payload (model declined to judge) | 0.092 | 0.023 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".