Prima di Memmo, i miei appunti erano sparsi tra mille PDF. Ora uno spazio di lavoro raccoglie tutto in un unico posto, e vedo esattamente cosa mi resta da studiare.
This book argues for a mixed theory of legal punishment that treats both crime reduction and retribution as important aims of the state.
A central question in the philosophy of law is why the state’s punishment of its own citizens is justified. Traditionally, two theories of punishment have dominated the field: consequentialism and retributivism. According to consequentialism, punishment is justified when it maximizes positive outcomes. According to retributivism, criminals should be punished because they deserve it. This book recognizes the strength of both positions. According to the two-tiered model, the institution of punishment and statutory penalties, as set by the legislature, are justified based on their costs and benefits, in terms of deterrence and rehabilitation. The law exists to preserve the public order. Criminal courts, by contrast, determine who is punished and how much based on what offenders deserve. The courts express the community’s collective sense of resentment at being wronged.
This book supports the two-tiered model by showing that it accords with our moral intuitions, commonly held (compatibilist) theories of freedom, and assumptions about how the extent of our knowledge affects our obligations. It engages classic and contemporary work in the philosophy of law and explains the theory’s advantages over competing approaches from retributivists and other mixed theorists. The book also defends consequentialism against a longstanding objection that the social sciences give us little guidance regarding which policies to adopt. Drawing on recent criminological research, the two-tiered model can help us to address some of our most pressing social issues, including the death penalty, drug policy, and mass incarceration. This book will be of interest to philosophers, legal scholars, policymakers, and social scientists, especially criminologists, economists, and political scientists.
Prima di Memmo, i miei appunti erano sparsi tra mille PDF. Ora uno spazio di lavoro raccoglie tutto in un unico posto, e vedo esattamente cosa mi resta da studiare.
I riassunti di Memmo sono oro puro prima degli esami. Non devo rileggere 800 pagine due settimane prima, solo le parti importanti.
La chat AI mi ha salvato più di una volta la sera prima di un esame. Continuo a chiedere finché non capisco, senza aspettare risposte da un gruppo di studio.
I quiz colpiscono esattamente ciò che devo sapere. Memmo tiene traccia di dove mi blocco, così mi esercito solo su ciò che conta davvero.
Le flashcard con ripetizione spaziata sono magia pura. Memmo sa quando sto per dimenticare qualcosa e me lo ripropone.
I podcast AI sono i miei preferiti. Li ascolto mentre vado a scuola e ripasso senza stare davanti al computer.
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