Bibliographic record
Abstract
1 Tsui claims that the District Court erred in its determinations that Tsui wrongfully retained Raeann Tsui ("Raeann" or "the child") and that Raeann should be returned to Canada despite the "wishes of the child" exception.We disagree, and for the reasons that follow, will affirm the District Court's judgment. 2The parties disagree on what month Yang moved in, but the disagreement does not impact our analysis in this case. 3Raeann is a United States citizen. I.Although Yang and Tsui have known each other since they were children in Taiwan, our focus is on the events that occurred after they both moved to Pittsburgh.Tsui attended the University of Pittsburgh and earned a Ph.D. in Electrical Engineering in 1997.Yang arrived in Pittsburgh in 1994, a few years after Tsui.She also attended the University of Pittsburgh where she earned a Master's of Science in Information Science in 1995.Tsui was married and had a child around the time of Yang's arrival in Pittsburgh.However, a romance ensued between him and Yang in 1995, and Yang became pregnant.Tsui and his mother invited Yang to move in with their family, which included Tsui's wife and child.Yang accepted the offer and moved in with the family sometime before
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.012 | 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 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".