The Introduction of Real Estate Investment Trusts [REITs] in Germany
Bibliographic record
Abstract
The German Real Estate Investment Trust – or, G-REIT – is in the centre of interest in Germany these days and expected to be introduced in Germany in the beginning of 2007. After a preparation phase initiated in 2003 by a lobbying group (“IFD”) under the former German government, the new government has most recently drafted a bill with respect to the introduction of G-REITs (“bill”). This bill remains to be subject to parliamentary discussion and is likely to be partially modified before its final adoption: in addition to its passage in the Bundestag (Federal Parliament), it requires the approval of the Bundesrat (German Federal Council). Following its first reading it will be committed to the Financial Committee, which will conduct hearings. However, the legislator intends to pass the bill in the first quarter of 2007 to take retroactive effect as of 1 January 2007. This essay intends to outline fundamental corporate, capital market, and tax related G-REIT parameters provided for by the G-REIT Act in its present form.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.007 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 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".