Truth in Lending Developments in 1987: An Active Year on Several Fronts
Bibliographic record
Abstract
The year 1 987 proved to be an active one for Truth in Lending developments, particularly during the final quarter. Congress repeated its penchant for being unable to alter the structure of federal banking law without also amending the Truth in Lending Act (TILA).1 On August 4, Congress enacted the Competitive Equality Banking Act of 1987 (CEBA).2 Section 1204 of the CEBA,3 which was an eleventh-hour floor amendment sponsored by Senator Howard Metzenbaum, requires lenders to include a specific maximum interest rate in their adjustable rate mortgage (ARM) loan contracts. As prescribed by the provision, the Federal Reserve Board (FRB or Fed) subsequently issued implementing regulations by adopting a final amendment to regulation Z.4 Meanwhile, on the regulatory front, progress was finally made on the long-awaited uniform disclosure rule. The Federal Reserve Board adopted a final disclosure amendment to regulation Z that requires lenders to provide consumers a new ARM program disclosure, as well as a consumer booklet on loans, prior to the receipt of either a formal application or a non-refundable application fee.5 Concurrently, the Office of the Comptroller of
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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 | 0.005 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.011 | 0.012 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.018 | 0.004 |
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".