1 Ineffective policies: causes and consequences of bad policy decisions
Notice bibliographique
Résumé
This volume is concerned with policy that is developed, adopted, and/ or sustained despite being shown as ineffective/ ineffectual and generating undesirable and/ or unanticipated negative outcomes.Such policies are by their very nature ineffective.This definition grounds research in empirical cases of how and why governments develop and pursue ineffective policy.Such a position draws from the American political scientist Harold Lasswell, who helped found the field of policy studies.He argued that policy work ought to be multidisciplinary, focused on problem solving, and explicitly normative (Torgerson, 1985).Taking their cue from these principles, contributors to this book sought to identify ineffective policies and to lay the foundations for citizens, scholars, and policy makers alike to tackle them in more comprehensive ways that account for government deficiencies without seeking to undermine their work.Hailing from a broad range of disciplinary backgrounds and methodological approaches, contributors to this book share a commitment to improving trust in governments and to the development and implementation of the policies necessary to tackle problems in and across the diverse fields of environment, finance, and technology.Part of this framing is an acceptance that research on ineffective policy requires an explicitly normative approach that recognizes there are good and desirable policies, as well as bad and undesirable policies.Not shying away from using such words allow scholars and policy makers alike possibilities to consider the substantive questions openly and honestly about the type of policies that societies need and ought to favor, as well as those that governments ought not to adopt and implement.Being explicitly normative in identifying and advancing solutions to serious societal problems has its place in policy studies.Doing so in no way removes the rigor and systematic research upon which the policy assessments and recommendations provided in this volume rely.All research and policy analyses are subject to biases which we argue need to be explicitly acknowledged.Identifying ineffective policies as not meeting outcomes, failing to produce expected outputs, having implementation issues, generating unexpected effects, and/ or having outright failed all ultimately requires judgment underlined by normative stances.Referencing effective policy as good and desirable, and ineffective policy as bad and undesirable, in short, helps engage in more foundational debates while maintaining a focus on much-needed policy improvement.It also allows the connection with language used in everyday framing of policy, opening important spaces for communication beyond the ivory tower/ academic world.Ineffective policies in Europe and North America are identified in this book across three fields that are core to societal well-being in the 21st century.These policy fields have been selected, in fact, because of their significance for the future well-being of populations around the globe.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,005 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».