Sexuality in Black and White: Data from 783 Undergraduates
Notice bibliographique
Résumé
The campaign of Barak Obama for the President of the United States revived awareness of the great divide in the United States. During the campaign, a television journalist asked a white male (who was wearing a hat with the Confederate flag) in South Carolina for his thoughts on Obama. His reply, will never be a black man voted President by this state. Maybe not. (But other states gave Obama full support and his ascendancy to the Presidency became a reality). Behind the prejudice of the South Carolina man's Obama prediction is ignorance about Blacks. Our society continues to be segregated by residence, religion and education. Blacks and whites still live in different areas, attend different churches, and school in different universities (while both races may attend the same college, there are still colleges - Howard, Morehouse, Grambling). These divisions perpetuate cross misunderstanding. The purpose of this study was to increase what is known about the respective opinions of Black and white undergraduates on a wide variety of relationship and sexual issues. Previous researchers have largely ignored differences. Netting and Burnett (2005) reported on twenty years of Canadian student sexual behavior research but provided no on differences. Data which compares Black and white students are old (Belcastro, 1985) or focused on adolescents. Barone et al. (1966) included Blacks and whites in their study of adolescent sexual behavior but some of their sample were young 11. Exploring Black Sexuality by Staples (2006) was an attempt to update research in this area. However, Holmes (2007) noted that while the book has strengths, the degree to which the book is scholarly is questioned noting that observations are not linked to data (p. 398). Rather than the traditional review of literature to begin the paper, we begin with the sample and methodology section. This is followed by the findings section which tie the new to the existing literature. We end with sections on limitations and implications. This research is an attempt to provide current comparative on Black and white sexuality. While these are presented racial differences, we recognize that biologically, there is only one living race of human beings, but there are many ethnic groups. Neanderthal, Java Human, Peking Human, and other extinct groups of Homo sapiens were races. Native Americans, Africans, Asians, and Europeans are not races. They are ethnic groups. Sociologically, race refers to shared physical characteristics that are defined socially significant. Obama's being black means nothing except that color is identified having a social meaning. In this article we use the term race because ethnic group is less often used. However, in so doing, we are not suggesting there are biological differences between Blacks and whites, only socially defined differences. Also, in this study we use the term Black because this is the term used on the survey instrument. Respondents were asked to check I regard myself as White, Black, Hispanic, Asian, Biracial, and Other. Hence, in the material to follow we use the term Black because it is not specific to African-American. Sample and Methodology This study was exploratory - to find out what effect race (independent variable) had on the dependent variables of one's top life value (e.g. financial security over happy marriage), desire to marry, sexual value (e.g. absolutism, relativism, hedonism), regretting one's first sexual experience, experience in hooking up, experience in giving oral sex, approval of living together, view of the importance of two versus one parent families, and approval of same sex marriage/ interracial marriage/inter religious marriage. These factors were selected because they are common relationship and sexual issues yet empirical evidence is lacking in regard to Black white differences. …
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
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 | 0,007 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,003 |
| 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 ».