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Record W2972235855 · doi:10.3917/inno.060.0145

Gouvernance et accompagnement du changement : le cas de la phase expérimentale du Plan Alzheimer du Québec

2019· article· fr· W2972235855 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

VenueInnovations · 2019
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsMcGill UniversityUniversité du Québec en Abitibi-TémiscamingueUniversité de Sherbrooke
Fundersnot available
KeywordsPolitical scienceHumanitiesCentralisationPhilosophy

Abstract

fetched live from OpenAlex

Les écrits scientifiques montrent que l’implantation des politiques visant la transformation des systèmes sociosanitaires est souvent freinée en raison d’une forte centralisation de la gouvernance et d’un manque d’accompagnement du changement. Cet article propose une analyse de l’implantation du Plan Alzheimer du Québec, caractérisé par la décentralisation de responsabilités aux acteurs locaux et par la mise en place d’un important dispositif d’accompagnement du changement. L’analyse découle de huit entretiens réalisés auprès d’acteurs ayant exercé des fonctions aux niveaux national et régional, ainsi que 15 focus groups regroupant des cliniciens et des gestionnaires. Les résultats montrent l’importance de la bonne articulation entre les divers paliers de gouvernance et la nécessité de mettre en place des dispositifs d’accompagnement du changement, dès la phase de conception de l’innovation, afin de favoriser l’équilibre entre l’adaptation des changements aux réalités locales et le respect des principes fondamentaux qui guident la politique. Codes JEL : I80

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.440
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.039
GPT teacher head0.346
Teacher spread0.307 · 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