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La gestion axée sur les résultats: Comparaison des cadres de gestion de huit juridictions

2004· article· fr· W2094487501 on OpenAlexaffabout
Valérie Martin, Marie‐Hélène Jobin

Bibliographic record

VenueCanadian Public Administration · 2004
Typearticle
Languagefr
FieldBusiness, Management and Accounting
TopicAccounting and Organizational Management
Canadian institutionsHEC Montréal
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Sommaire: Au cours des deux derniéres décennies, plusieurs gouvemements ont voulu réformer leur administration publique en mettant en place un cadre de gestion axée sur les résultats. Jusqu à tout récemment, la documentation scientifique n'abor‐dait que trés peu ce théme et, outre les travaux de l'OCDE, le concept de gestion axée sur les résultats et son contenu n' avaient pas été définis. Nous avons donc voulu éla‐borer une définition générique de la gestion axée sur les résultats et comprendre la façon dont elle s'intègre à différents aspects de la gestion des organisations. Pour ce faire, nous avons exploré le cadre de gestion proposé par les réformes mises de l'avant dans huit juridictions. Les pays et provinces canadiennes choisis ont une approche‐type de gestion anglo‐américaine, soit le Canada, le Québec, l'Ontario, l'Alberta, les États‐Unis, l'Australie, le Royaume‐Uni et la Nouvelle‐Zélande. Les modèles étudiés présentent plusieurs similarités. On observe que la gestion de la performance dans ces juridictions se déploie dans des cycles de gestion composés de plusieurs étapes. Les éléments communs de ces cycles sont la planification stratégique, la planification opérationnelle, la réalisation des plans et des programmes, la mesure ds résultats, la reddition de comptes et l'analyse et l'interpréta‐tion des résultats. Ces processus se concrétisent par la publication de documents. Par ailleurs, ces cadres de gestion ont tendance à s'intégrer aux autres enjeux de la gestion des organisations tels que la qualité du service à la clientèle, la gestion des res‐sources humaines et financières et la vérification. Abstract: Over the last two decades, several governments have wanted to reform their public administration by implementing a results‐based management framework. Until very recently, the scientific literature hardly addressed this issue and, other than the OECD work, the concept of results‐based management and its content had not been defined. We therefore wanted to develop a generic definition for results‐based management and to understand how it fits into various aspects of organizational management. To do so, we explored the management framework put forward through reforms introduced in eight jurisdictions. The countries and Canadian provinces chosen, i.e., Canada, Quebec, Ontario, Alberta, United States, Australia, United Kingdom and New‐Zealand, use the typical Anglo‐American management approach. The models considered have several similarities. We found that performance management in those jurisdictions was implemented throughout several steps of management cycles. Common elements in these cycles include strategic planning, operational planning, plan and program delivery, results measurement, accountability, and results analysis and interpretation. The process is documented through published documents. Moreover, these management frameworks tend to become part of the other organizational management components, such as quality of customer service, management of human and financial resources, and auditing.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.019
metaresearch head score (Gemma)0.086
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.982
Threshold uncertainty score0.344

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.086
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0070.012
Science and technology studies0.0070.007
Scholarly communication0.0170.008
Open science0.0020.007
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0180.002

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 head0.032
GPT teacher head0.232
Teacher spread0.200 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations9
Published2004
Admission routes2
Has abstractyes

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