Demographic Changes in Germany up to 2060 – Consequences for Blood Donation
Bibliographic record
Abstract
This paper outlines the results of a most recent model calculation regarding the structure and development of Germany's population by 2060 with the aim to provide basic demographic data for the future provision of blood components to the population. Firstly, the paper describes the assumptions on fertility, life expectancy and Germany's balance of immigration and emigration which formed the basis for the projection. The following part discusses the results, quantifies future changes in the size and age structure of Germany's population, and illustrates the effects of demographic trends which can be identified from today's point of view. The number of potential blood donors will decline in absolute and relative terms (related to the total population and the age group of 'non-donors') in the future. This holds true for both the age bracket of 18 to 68 years and the alternatively chosen age group of 17 to 70 years. Depending on the variant, the population of blood donation age will decrease by one quarter to one third until 2060.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".