MétaCan
Menu
Back to cohort
Record W2124378561 · doi:10.1177/1524839912462030

How Can Both the Intervention and Its Evaluation Fulfill Health Promotion Principles? An Example From a Professional Development Program

2012· article· en· W2124378561 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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueHealth Promotion Practice · 2012
Typearticle
Languageen
FieldHealth Professions
TopicPublic Health Policies and Education
Canadian institutionsSante MontrealHôpital Charles-Le MoyneUniversité de SherbrookeUniversité de Montréal
FundersCanadian Institutes of Health Research
KeywordsHealth promotionProfessional developmentPublic relationsPromotion (chess)Public healthIntervention (counseling)Health educationMedical educationNursingMedicinePolitical scienceSociologyPolitics

Abstract

fetched live from OpenAlex

The emergence over the past 20 years of health promotion discourse poses a specific challenge to public health professionals, who must come to terms with new roles and new intervention strategies. Professional development is, among other things, a lever for action to be emphasized in order to meet these challenges. To respond to the specific training needs of public health professionals, a team from the Direction de santé publique de Montréal (Montreal Public Health Department) in Quebec, Canada, established in 2009 the Health Promotion Laboratory, an innovative professional development project. An evaluative component, which supports the project's implementation by providing feedback, is also integrated into the project. This article seeks to demonstrate that it is possible to integrate the basic principles of health promotion into a professional development program and its evaluation. To this end, it presents an analytical reading of both the intervention and its evaluation component in light of the cardinal principles in this field. Initiatives such as the Health Promotion Laboratory and its evaluation are essential to consolidate the foundations of professional development and its assessment by concretely integrating health promotion discourse into these practices.

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)0.025
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.748
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0250.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.000
Scholarly communication0.0000.003
Open science0.0000.000
Research integrity0.0000.001
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 head0.405
GPT teacher head0.557
Teacher spread0.152 · 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