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Record W2144913473 · doi:10.1177/10253823070140010301x

Evaluation of health promotion effectiveness: a political debate and/or a technical exercise?

2007· article· en· W2144913473 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePromotion & Education · 2007
Typearticle
Languageen
FieldHealth Professions
TopicCommunity Health and Development
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHealth promotionPublic relationsPromotion (chess)PoliticsPolitical sciencePresentation (obstetrics)IndigenousSociologyMedicinePsychologyPublic healthNursing

Abstract

fetched live from OpenAlex

This article summarizes the points of view of professionals from different nationalities, working in diverse organizations and dealing with concepts and activities related to health promotion effectiveness evaluation. This collection of views came from a panel presentation and dialogue held during the First Brazilian Seminar on Effectiveness in Health Promotion. Four professionals working in evaluation and health promotion--two from the United States, one from French Canada and another representing an international professional organization--facilitated by one Brazilian and one Puerto Rican moderator, had an informal dialogue with the audience. Four questions about how these professionals perceive evaluation in health promotion were asked to initiate the dialogue. The panelists deliberated five aspects of health promotion evaluation, asking: "how", "how much", "what for", "with whom" and "why". Professionals working in developing countries (in this case, Brazil) and those dealing with indigenous communities (in developed countries) tended to put more emphasis on "what for?", "with whom?" and "why?" regarding initiatives to evaluate effectiveness of health promotion. Questions associated with "how?" and "how much?" were more often mentioned by professionals working for international or governmental agencies. A 90-minute dialogue among panelists with a clearly Brazilian bias, was not sufficient to produce conclusions on the predominant character of international evaluation efforts of effectiveness. Nevertheless, this debate framed the five aspects of evaluation into a value perspective. The questions, "what for?", "with whom?", "why?", "how?" and "how much?" are linked to a political or technical presumptions that could be orchestrated in evaluations of health promotion effectiveness.

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)0.023
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.914
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0230.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.189
GPT teacher head0.532
Teacher spread0.344 · 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