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Record W6983465636

Ministerial organization and the politics of policy integration in parliamentary democracies

2024· dissertation· en· W6983465636 on OpenAlexaboutno aff

Bibliographic record

VenueIRIS · 2024
Typedissertation
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsOrganizational structureImmigrationGovernment (linguistics)Distribution (mathematics)Public policyQualitative analysisQualitative research
DOInot available

Abstract

fetched live from OpenAlex

The capacity to formulate cross-sectoral, integrated policies has become a functional requirement that governments face increasingly but seem ill-equipped to deal with because the organisational structure of ministries induces sectoral logics of policy coordination. The literature on policy integration (PI) suggests that reorganisations of governments, and the fusion of ministries in particular, may be instruments for PI. In this thesis, I combine the literature on PI with arguments from organisational theory, which has long studied the effects of organisational structure on coordination, to explore if the distribution of ministerial policy competences may act as a condition explaining the adoption of PI reforms. To answer this question, this study compares the adoption of PI in three policies: environmental protection, employment, and immigrant integration. Based on two novel datasets that cover ministerial organisation and PI reforms in nine parliamentary democracies (Australia, Austria, Canada, France, Germany, Netherlands, New Zealand, Sweden, United Kingdom) between 1970 and 2016, the study applies Qualitative Comparative Analysis (QCA) to identify the complex combinations of political and organisational conditions under which governments adopt PI reforms. The findings show that organisational structure interacts with the preferences of the governing parties and governments’ executive capacity in complex patterns that vary between the policies, and are elucidated by case illustrations. -- La capacité à formuler des politiques intersectorielles et intégrées est devenue une exigence fonctionnelle à laquelle les gouvernements sont de plus en plus confrontés, mais pour laquelle ils semblent mal équipés, car la structure organisationnelle des ministères induit des logiques sectorielles de coordination. La littérature sur l'intégration des politiques publiques (PI) suggère que les réorganisations, et la fusion des ministères en particulier, peuvent faciliter l’adoption de réformes intégrant des politiques publiques. Dans cette thèse, je combine la littérature sur PI avec des arguments de la théorie organisationnelle, qui étudie depuis longtemps les effets de la structure organisationnelle sur la coordination, afin d’explorer si la répartition des compétences ministérielles peut constituer une condition expliquant l'adoption des réformes de l'IP. A cette fin, cette étude compare l'adoption de réformes de PI dans trois politiques publiques : la protection de l'environnement, l'emploi et l'intégration des immigrants. En se basant sur deux nouveaux ensembles de données couvrant l'organisation ministérielle et les réformes PI entre 1970 et 2016 dans neuf démocraties parlementaires (Australie, Autriche, Canada, France, Allemagne, Pays-Bas, Nouvelle- Zélande, Suède, Royaume-Uni), elle applique la Qualitative Comparative Analysis (QCA) pour identifier les combinaisons complexes de conditions politiques et organisationnelles dans lesquelles les gouvernements adoptent des réformes de PI. Les résultats montrent que la structure organisationnelle interagit avec les préférences des partis au pouvoir et la capacité exécutive des gouvernements dans des schémas complexes qui varient d'une politique à l'autre, et sont élucidés par des illustrations de cas.

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)0.010
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.091

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0050.007
Scholarly communication0.0050.003
Open science0.0000.004
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 head0.020
GPT teacher head0.233
Teacher spread0.213 · 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 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

Citations0
Published2024
Admission routes1
Has abstractyes

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