Titlebook: Victim-Offender Mediation with Youth Offenders in Europe; An Overview and Comp Anna Mestitz,Simona Ghetti Book 2005 Springer Science+Busine

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書目名稱Victim-Offender Mediation with Youth Offenders in Europe影響因子(影響力)學(xué)科排名




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書目名稱Victim-Offender Mediation with Youth Offenders in Europe網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Victim-Offender Mediation with Youth Offenders in Europe被引頻次




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companion

Victim-Offender Mediation and Conferencing with Juvenile Offenders in the Netherlandsion been passed on mediation in penal matters. RJ has not yet gained a firm foothold in the Netherlands and the political situation does not make this any easier. The main focus seems to be to get tougher on crime, which does not provide fertile ground for RJ. The future of restorative practices are

碎石

Book 2005ctim-offender mediation programmes; values and theoretical frameworks of victim-offender mediation; organizational structure of victim-offender mediation services; professional characteristics of mediators; benefits, potential problems, and criticisms of current practice..

DAUNT

不近人情

ediation; organizational structure of victim-offender mediation services; professional characteristics of mediators; benefits, potential problems, and criticisms of current practice..978-90-481-6956-6978-1-4020-3879-2

脫毛

Siri Kemény M.D. of long news articles without reliance on any external reference knowledge. We investigate the impact of learning aspects from documents on the effectiveness of fake news detection. Our experiments on four benchmark datasets show statistically significant improvements over the results of several ba

Interferons

Veronika Hofinger,Christa Pelikaning both fine-tuning and p-tuning to CMed-GPT, we lowered the PPL from 8.44 to 7.35. This study not only confirms the exceptional performance of the CMed-GPT model in generating Chinese biomedical text but also highlights the advantages of p-tuning over traditional fine-tuning with prefix prompts. F

muscle-fibers

Michael Kilchlingthe complaint/non-compliant labels. Each instance in the dataset is now associated with five labels: complaint, emotion, polarity, severity, and rationales. Our proposed model addresses the multi-task problem as a text-to-text generation task by utilizing a generative framework. Additionally, we int

Noctambulant