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Record W3088222585 · doi:10.3917/spub.202.0221

Cadre stratégique pour soutenir l’évaluation des projets complexes et innovants en santé numérique

2020· article· fr· W3088222585 on OpenAlex
Hassane Alami, Jean‐Paul Fortin, Marie‐Pierre Gagnon, Lise Lamothe, El Kebir Ghandour, Mohamed Ali Ag Ahmed, Denis Roy

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

VenueSanté Publique · 2020
Typearticle
Languagefr
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsInstitut National d'Excellence en Santé et en Services SociauxUniversité de SherbrookeUniversité de MontréalUniversité LavalInstitut National de Santé Publique du Québec
Fundersnot available
KeywordsSociotechnical systemValuation (finance)Digital healthPolitical scienceReflection (computer programming)BusinessHealth careRegional scienceWelfare economicsSociologyComputer scienceKnowledge managementEconomics

Abstract

fetched live from OpenAlex

Digital technologies play a central role in strategies to improve access, quality and efficiency of health care and services. However, many digital health projects have failed to become sustainable and spread across health organizations and systems. This situation is partly due to the fact that these projects are often developed and evaluated by reducing the issues linked mainly to the technological dimension. Such tradition has paid little attention to the fact that technology is introduced into pluralistic and complex sociotechnical systems such as health organizations and systems. The aim of this article is to propose practical and theorical, non-prescriptive, elements of reflection that can serve as a basis for evaluating complex and innovative digital health projects. This reflection builds on the lessons learned from the application of a strategic framework for evaluating three major complex and innovative digital health projects in Quebec over the last 15 years.

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)0.012
metaresearch head score (Gemma)0.017
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.457
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.017
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.002
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.348
GPT teacher head0.574
Teacher spread0.226 · 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