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Bildung und Gesundheit

2011· book-chapter· de· W39274695 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueVS Verlag für Sozialwissenschaften eBooks · 2011
Typebook-chapter
Languagede
FieldHealth Professions
TopicHealth and Medical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceBildungHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.864
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0010.000
Science and technology studies0.0040.002
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0050.008
Insufficient payload (model declined to judge)0.0110.052

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.

Opus teacher head0.105
GPT teacher head0.404
Teacher spread0.300 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it