Abercrombie & Fitch closing 60 stores
Bibliographic record
Abstract
Abercrombie & Fitch Co. reported a wider loss for its second quarter on Tuesday and said it's closing up to 60 stores in the United States as both U.S. and international sales fell. Clothing store Abercrombie & Fitch Co. says it's closing up to 60 stores in the U.S. after reporting a loss in the second quarter.The teen-focused brand has struggled to keep up with the times as its customers increasingly shop on their phones and shift more to fast-fashion chains like H&M.Abercrombie's been trying to make over its merchandise and marketing.Last year it got rid of provocative pictures on its shopping bags.It also gave employees more freedom to dress how they want.Supposedly the changes were gaining speed...but the latest results show the decline in visitor spending in the U.S. is overshadowing Abercrombie's efforts.The company lost $13.1 million, or 19 cents per share, in the quarter.
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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 | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.036 | 0.027 |
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".