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Record W4395052803 · doi:10.1055/s-0044-1781898

GUT GEHT’S – kommunaler Strukturaufbau im Bereich Gesundheitsförderung im Gesundheitsamt Frankfurt am Main: jährliche Stadtgesundheitskonferenzen

2024· article· de· W4395052803 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

VenueDas Gesundheitswesen · 2024
Typearticle
Languagede
FieldHealth Professions
TopicHealth and Medical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

Hintergrund: Im Jahr 2015 trat das Gesetz zur Stärkung der Gesundheitsförderung und Prävention (PrävG) in Kraft. Das Präventionsgesetz bzw. die daraus hervorgegangene hessische Landesrahmenvereinbarung fördern die zielgerichtete Zusammenarbeit und Kooperation gesundheitsbezogener Akteure in der Prävention und Gesundheitsförderung. Maßnahmen und Angebote sollen insbesondere dort greifen und umgesetzt werden, wo Menschen leben, lernen und arbeiten (vgl. Ottawa Charta 1986). Gesundheitsämter sind dazu befähigt, diese Strukturen vor Ort aufzubauen (vgl. §1 (2) Nr. 3 HGöGD). Wie die Umsetzung im Gesundheitsamt Frankfurt am Main aussieht, wird im Folgenden beantwortet.

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)0.010
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, 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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.672
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.004
Meta-epidemiology (narrow)0.0050.004
Meta-epidemiology (broad)0.0060.002
Bibliometrics0.0020.005
Science and technology studies0.0080.003
Scholarly communication0.0010.002
Open science0.0040.004
Research integrity0.0060.016
Insufficient payload (model declined to judge)0.0150.044

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 head0.082
GPT teacher head0.450
Teacher spread0.368 · 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