MétaCan
Menu
Back to cohort
Record W2057796221 · doi:10.1055/s-0028-1103306

Empowerment durch Kapazitätsentwicklung im Quartier – erste Ergebnisse und Einschätzung eines Erhebungsinstruments

2008· article· de· W2057796221 on OpenAlexaboutno aff
Alf Trojan, Stefan Nickel

Bibliographic record

VenueDas Gesundheitswesen · 2008
Typearticle
Languagede
FieldHealth Professions
TopicHealth and Medical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Context (archaeology)Promotion (chess)PsychologyEmpowermentDisadvantagedCapacity buildingHealth promotionApplied psychologyNursingMedicinePublic healthGeographyPolitical science

Abstract

fetched live from OpenAlex

AIMS: Capacity building is regarded as an intermediate outcome and success parameter for community health promotion and empowerment. The first aim of the study was the development and examination of a tool to measure capacity building in the context of a programme of health promotion for children and parents in a socially disadvantaged quarter in Hamburg (about 3000 residents, 60% with migration background). The second aim was to measure capacity building within a period of five years. METHOD: A survey was carried out with 27 professionals from the health and social field. Dimensions of the instrument were: citizen participation, local leadership, available resources, networking and co-operation, support of residents. At the same time, we tested to what extent the instrument is suitable for resident surveys. Furthermore, pretest instrument and results were discussed with our advisory board regarding potential improvements. RESULTS: The result of the project, in addition to its practical use in the quarter, consists of the generation of a psychometrically tested instrument to measure capacity building. Furthermore, the experience contributed to the expertise on how such a study can be conducted. A comparison of the situation in 2006 with the situation in 2001 showed considerable improvements in all dimensions of capacity building in the quarter. CONCLUSION: Establishing the instrument on a long-term basis calls for more intensive examination not only of the chances, but also the limitations of the tool. We mainly attribute the overall positive picture that was gained within a period of five years to the generally supportive climate of development in the quarter as well as to the strong and continuous commitment of individual persons involved.

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 imitation

Not 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.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0110.002

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 head0.071
GPT teacher head0.438
Teacher spread0.367 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations13
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueDas GesundheitswesenSame topicHealth and Medical StudiesFrench-language works237,207