Bibliographic record
Abstract
Bildung gehört sowohl in wohlhabenden und modernen Gesellschaften als auch in den Entwicklungs- und Schwellenländern dieser Welt zu den wichtigsten sozialen Determinanten von Morbidität und Mortalität. Bereits in der berühmten Ottawa Charta von 1986 betonte die Weltgesundheitsorganisation (WHO) die Bedeutung der Bildung als eine von neun grundlegenden Bedingungen und konstituierenden Momenten von Gesundheit (WHO 1986: 5). Der britische Epidemiologe Geoffrey Rose bezeichnet in seinem renommierten Werk „The strategy of preventive medicine“ Bildung als fundamentalen Wegbereiter von Gesundheit („foremost enabler of health“) (Rose 1995: 122). In dem 1998 erschienenen ersten Gesundheitsbericht für Deutschland heißt es: „Unter den drei wichtigsten Merkmalen zur Charakterisierung der sozialen Stellung einer Person – Einkommen, Bildung und Beruf – kommt dem Bildungsstatus bei gesundheitsbezogenen Untersuchungen ein besonderes Gewicht zu“ (Statistisches Bundesamt 1998: 108).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.020 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.017 | 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".