Bibliographic record
Abstract
This article examines the deeds establishing annuities in late-medieval Reval (Tallinn). In most cases, some clerical institution or the city council itself functioned as the debtor, promising a yearly rente to a creditor in exchange for a capital sum. Among the beneficiaries are numbered one or more natural persons as well as corporations such as churches. The deeds show that granting annuities was found to be useful in a number of different contexts. They could be employed to create a fixed annual income. They could also be used to gain spiritual merit, if a perpetual rent was created in order to benefit a church or hospital. They could be used as a form of payment for the life-time use of real property or to facilitate the distribution of an estate among the heirs. Of course, annuities were a risky proposition, a fact which generated a number of individual stipulations to cover various eventualities. The age and the number of beneficiaries may have influenced the level of the rente, which normally ranged between 6 % and 10 % of the capital invested.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 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".