Pensions funds
Bibliographic record
Abstract
Case A pension fund for employees of a company, that provides a specified benefit upon retirement, has been running for several years. Both the employer and the employees make contributions to the fund. The managers of the fund are of the opinion that there is a surplus of funds as a result of successful investments. a. Can the employer suspend making contributions? b. To whom does the surplus belong? Discussion AUSTRIA An employees' pension fund that provides a specified benefit upon retirement, several years after the employer and the employee have made contributions to the fund, is not a ‘pension fund’ according to the Austrian Investment Fund Act. However, Austrian private law recognises alternative concepts that meet the requirements described in Case 8. These alternatives are based on a specific statute called the Betriebspensionsgesetz (BPG). There are basically three pension fund schemes under s. 2 BPG. The first scheme is called Pensionskasse (s. 2 Z 1 BPG). This pension scheme is an insurance solution that allows the employer to organise the insurance entity. The insurance entity has its own legal personality based on a specific statute, the Pensionskassengesetz (PKG). Both the employer and the employee pay contributions to the insurance entity on behalf of the employee. The employees can claim benefits upon retirement, regardless of whether they still have an employment contract with the same employer. The second pension fund scheme is a direct promise pension ( direkte Leistungszusage ) (s. 2 Z 2 BPG).
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.111 | 0.063 |
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".