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Record W3009513313 · doi:10.1111/capa.12358

L’adoption et le suivi de la performance d’une mesure interministérielle : Le cas du Supplément à la prime au travail

2020· article· fr· W3009513313 on OpenAlexaboutno aff
Pierre‐Marc Daigneault, Christian Macé

Bibliographic record

VenueCanadian Public Administration · 2020
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Sommaire La gestion horizontale pose des enjeux significatifs, en particulier en ce qui a trait au suivi et à l’évaluation de la performance des programmes publics. Cette étude de cas porte sur le Supplément à la prime au travail (SPT), une mesure sociofiscale de type interministériel, qui n’a fait l’objet d’aucune évaluation de sa performance depuis son introduction en 2008. À partir d’entretiens qualitatifs avec des acteurs publics, nous tentons d’expliquer pourquoi le SPT a pris la forme d’une mesure sociofiscale gérée par trois organisations publiques (ministère des Finances du Québec, Revenu Québec et le ministère du Travail, de l’Emploi et de la Solidarité sociale). Nous analysons ensuite les implications de cette horizontalité pour le suivi et l’évaluation de la performance de la mesure. Nous concluons à un décalage entre les responsabilités officielles et officieuses pour l’évaluation du SPT, et entre les intérêts des organisations impliquées dans l'évaluation.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.828
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
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 head0.022
GPT teacher head0.279
Teacher spread0.256 · 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 designNot applicable
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

Citations3
Published2020
Admission routes1
Has abstractyes

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