Bibliographic record
Abstract
Most working adults have access to a taxable brokerage account (TBA) and a tax deferred retirement account (TDRA). According to the existing literature, taxable bonds should be located in the TDRA, while equities should be located in the TBA due to the tax treatments of these accounts. If borrowing is not allowed mixed holdings can be optimal in either account but not in both simul-taneously. But if borrowing is allowed all the wealth in the TDRA should be I am extremely grateful to Mike Cli and John J. McConnell for their continuous guidance and support. Thanks to John M. Barron and C. D. Aliprantis for their helpful comments. I would also like to thank the seminar participants at Krannert Graduate School of Management for their valuable suggestions. Thanks to Chester S. Spatt and Harold H. Zhang for their helpful suggestions and comments. Comments of all the participants of the Asset Allocation and Mortality Conference at the Fields Institute, Toronto, helped me in improving the layout and content of this work. 1 allocated to bonds. Unfortunately, the empirical ndings are at odds with the
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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 | 0.001 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.024 | 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; 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".