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Record W2126111248 · doi:10.1111/capa.12059

La fonction d'évaluation dans l'administration publique québécoise : analyse de la cohérence du système d'actions

2014· article· fr· W2126111248 on OpenAlexaffabout
Pernelle Smits, Steve Jacob

Bibliographic record

VenueCanadian Public Administration · 2014
Typearticle
Languagefr
FieldDecision Sciences
TopicEvaluation and Performance Assessment
Canadian institutionsUniversité LavalUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPolitical scienceValuation (finance)Transparency (behavior)PhilosophyBusinessAccountingLaw

Abstract

fetched live from OpenAlex

Sommaire Cet article analyse la fonction d'évaluation dans l'administration publique du Québec au cours des années 2000 comme un système organisé d'actions (valeurs, environnement, ressources et modalités, pratique, effets) avec ses cohérences et incohérences. Trois constats émergent : les activités de soutien de la pratique évaluative de la part des ministères centraux sont quasiment absentes, la transparence auprès des citoyens dans le processus évaluatif est peu présente, la réalisation et l'utilisation d'évaluations de portée stratégique parait peu fréquente. Cet article met en évidence certaines cohérences et incohérences d'une fonction de gestion, et propose une façon directe et systématique de souligner les points à améliorer. Abstract In this article, we analyze the evaluation function within the Quebec public administration during the 2000s as an organized action system (values, environment, resources and procedures, practice, impacts) with its consistencies and inconsistencies. Three findings emerge: the support that central agencies give to the evaluation practice is almost non‐existent; the transparency of the evaluation process for the citizens is barely noticeable; and the undertaking and use of the strategic use of evaluations seem rare. This article brings the attention to some consistencies/inconsistencies of the management function, and suggests a direct and systematic way to highlight what needs to 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)0.015
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.795
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0030.004
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.083
GPT teacher head0.397
Teacher spread0.314 · 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 designTheoretical or conceptual
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

Citations5
Published2014
Admission routes2
Has abstractyes

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