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.
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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) | 0.001 | 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) | 0.004 | 0.003 |
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".