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The Guidelines are the product of the United States Sentencing Commission, which was created by the Sentencing Reform Act of 1984. [3] The Guidelines' primary goal was to alleviate sentencing disparities that research had indicated were prevalent in the existing sentencing system, and the guidelines reform was specifically intended to provide for determinate sentencing.
Over time, though, state and federal authorities have gradually migrated their philosophies back toward long-term sentences. Many states use a mixture of the two; e.g., some offenders may receive sentences reduced by several months due to rehabilitation, counseling, and other programs, as well as good time. [citation needed]
If a life without parole sentence is imposed, executive branch government officials (usually the state governor) may have the power to grant a pardon, or to commute a sentence to time served, effectively ending the sentence early. Many U.S. states offer parole after a decade or more has passed, but in California, people sentenced to life ...
The life sentences were not served consecutively (back to back) but the multiple periods of parole ineligibility led to a similar result. The longest period of parole ineligibility was 75 years, handed out to four offenders: Justin Bourque (later reduced to 25 years), John Paul Ostamas, Douglas Garland and Derek Saretzky.
p. 1363. Herodian, l. v. p. 189.) and used an automated Gunning Fog calculator, [8] first using the sentence count, and then the count of sentences plus clauses. The calculator gave an index of 19.2 using only sentences, and an index of 12.5 when including independent clauses. This brought down the fog index from post-graduate to high school ...
Here's An Easy Way to Calculate. Elizabeth Narins. November 20, 2024 at 5:16 AM ... let alone estimate how many you need per person—remind me how many potatoes you need for a heaping spoonful ...
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BLEU (bilingual evaluation understudy) is an algorithm for evaluating the quality of text which has been machine-translated from one natural language to another. Quality is considered to be the correspondence between a machine's output and that of a human: "the closer a machine translation is to a professional human translation, the better it is" – this is the central idea behind BLEU.