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| 001 | 189904 | ||
| 003 | IT-RoAPU | ||
| 005 | 20221214232458.0 | ||
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| 008 | 220524t20222006mau fo d z eng d | ||
| 020 |
_a9780674043244 _qPDF |
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| 024 | 7 |
_a10.4159/9780674043244 _2doi |
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| 035 | _a(DE-B1597)9780674043244 | ||
| 035 | _a(DE-B1597)574542 | ||
| 035 | _a(OCoLC)1294424403 | ||
| 040 |
_aDE-B1597 _beng _cDE-B1597 _erda |
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| 050 | 4 | _aHM1096 ǂb S34 2003eb | |
| 072 | 7 |
_aLAW013000 _2bisacsh |
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| 082 | 0 | 4 | _a303.3/85 |
| 084 | _aonline - DeGruyter | ||
| 100 | 1 |
_aSchauer, Frederick _eautore |
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| 245 | 1 | 0 |
_aProfiles, Probabilities, and Stereotypes / _cFrederick Schauer. |
| 264 | 1 |
_aCambridge, MA : _bHarvard University Press, _c[2022] |
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| 264 | 4 | _c©2006 | |
| 300 | _a1 online resource (384 p.) | ||
| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 506 | 0 |
_arestricted access _uhttp://purl.org/coar/access_right/c_16ec _fonline access with authorization _2star |
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| 520 | _aThis book employs a careful, rigorous, yet lively approach to the timely question of whether we can justly generalize about members of a group on the basis of statistical tendencies of that group. For instance, should a military academy exclude women because, on average, women are more sensitive to hazing than men? Should airlines force all pilots to retire at age sixty, even though most pilots at that age have excellent vision? Can all pit bulls be banned because of the aggressive characteristics of the breed? And, most controversially, should government and law enforcement use racial and ethnic profiling as a tool to fight crime and terrorism? Frederick Schauer strives to analyze and resolve these prickly questions. When the law "thinks like an actuary"--makes decisions about groups based on averages--the public benefit can be enormous. On the other hand, profiling and stereotyping may lead to injustice. And many stereotypes are self-fulfilling, while others are simply spurious. How, then, can we decide which stereotypes are accurate, which are distortions, which can be applied fairly, and which will result in unfair stigmatization? These decisions must rely not only on statistical and empirical accuracy, but also on morality. Even statistically sound generalizations may sometimes have to yield to the demands of justice. But broad judgments are not always or even usually immoral, and we should not always dismiss them because of an instinctive aversion to stereotypes. As Schauer argues, there is good profiling and bad profiling. If we can effectively determine which is which, we stand to gain, not lose, a measure of justice. | ||
| 538 | _aMode of access: Internet via World Wide Web. | ||
| 546 | _aIn English. | ||
| 588 | 0 | _aDescription based on online resource; title from PDF title page (publisher's Web site, viewed 24. Mai 2022) | |
| 650 | 7 |
_aLAW / Civil Rights. _2bisacsh |
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| 850 | _aIT-RoAPU | ||
| 856 | 4 | 0 | _uhttps://doi.org/10.4159/9780674043244?locatt=mode:legacy |
| 856 | 4 | 0 | _uhttps://www.degruyter.com/isbn/9780674043244 |
| 856 | 4 | 2 |
_3Cover _uhttps://www.degruyter.com/document/cover/isbn/9780674043244/original |
| 942 | _cEB | ||
| 999 |
_c189904 _d189904 |
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