U.S. retailer Gap sorry for T-shirt's 'erroneous' China map
Bibliographic record
Abstract
U.S. clothing retailer Gap has apologized for selling T-shirts with what it says was an "erroneous" map of China. In a posting on its Chinese social media account late Monday, the company apologized for its "unintentional mistake" and promised to carry out "more rigorous reviews" in the future. T-shirts showing an incorrect map of China have been recalled and destroyed by American clothing retailer Gap.The company has apologized for what it said was its "unintentional mistake" of selling T-shirts in China with an "erroneous" map of the country. Gap took action on Monday after photos began circulating on Chinese social media of a T-shirt with a map that appeared to leave out southern Tibet, the disputed South China Sea and Taiwan, a self-ruled island that Beijing regards as Chinese territory.The photos were reportedly taken at a Gap shop in Canada.Gap is the latest of several companies to apologize for perceived slights to China's sovereignty.It has promised to carry out "more rigorous reviews" in the future.
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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 | 0.001 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.029 | 0.007 |
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".