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Record W3173771185 · doi:10.3917/spub.211.0065

Enjeux de la pratique en évaluation d’impact sur la santé : observations sur l’expérimentation de cette démarche au Québec

2021· article· fr· W3173771185 on OpenAlexaffabout
G Lapointe, Émile Tremblay

Bibliographic record

VenueSanté Publique · 2021
Typearticle
Languagefr
FieldEnvironmental Science
TopicEnvironmental and Social Impact Assessments
Canadian institutionsSanté MontérégieInstitut National de Santé Publique du Québec
Fundersnot available
KeywordsPolitical scienceHumanitiesArt

Abstract

fetched live from OpenAlex

INTRODUCTION: The Quebec Government Policy of Prevention in Health incited several regional Public health departments (PHD) to initiate health impact assessment (HIA) as a way to strengthen collaboration with municipal decision makers and improve their projects of urban planning projects. This article presents the main HIA implementation issues encountered in the last two years and the solutions applied or envisaged. METHOD: The documentation of the issues is based on the observations of HIA experts drawn from working sessions with practitioners from different regional PHDs and from the activities of a community of practice. RESULTS: Five issues have been identified : appropriation of the HIA process and new skills, support and collaboration of municipal partners, intersectoral work, access to expertise and evidence as well as HIA funding. DISCUSSION: A common implementation framework offering different tools, a scientific support and a vibrant community of practice will help to develop skills of practitioners and capacities of their respective organizations. These solid foundations will increase the credibility and relevance of HIA for municipal partners. CONCLUSION: An in-depth evaluation will be carried out at the end of the experiment to examine the relevance, feasibility and acceptability of HIA and to better understand the conditions necessary for a successful integration of this practice in various contexts. It will make it possible to assess whether the services and instrumentation made available to practitioners are useful or how they can be improved.

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 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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.222
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.024
GPT teacher head0.344
Teacher spread0.319 · 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 teacher head, not a consensus.

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

Citations0
Published2021
Admission routes2
Has abstractyes

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