Notice bibliographique
Résumé
BACKGROUNDFor most people, informal networks of family and friends provide die ties along which social, emotional, instrumental, material, and financial assistance is exchanged. For many with scant resources, informal exchange is key in enabling survival (e.g., Stack, 1974; Zavella, 1987). Even for tiiose with more resources, this support provides connection and aid at life transitions, such as while establishing one's self in young adulthood (e.g., Logan & Spitze, 1996) or becoming more dependent in later life (Connidis, 2001). Another important life transition is marriage. Those who are married can differ significantly from those who are single in the types of aid that are both needed and available. This report explores such possibilities, examining how support exchange is related to the marital status of those involved, and how that may differ by gender. The data are from a survey on support exchange conducted by the author.PRIOR RESEARCH ONMARRIAGE AND SUPPORT NETWORK PARTICIPATIONPrior research demonstrates a number of differences in support network exchange which are related to the marital status of the participants. The social networks of the married are larger than those of the unmarried (Rands, 1988). The married are more prone to give monetary aid to network members than are the unmarried. Coresidence of adult children and parents is more prevalent if the adult children are single (Aquilino, 1990). Unmarried people are likely to give aid requiring time rather than money, such as rides or help with chores (Rossi & Rossi, 1990). Almeida et al. (2001) noted that single men and women give fewer dollars per week to their kin than do married men and women. Marital status also affects aid received. Adult children give more assistance to parents who are single than to parents who are married (Coward etal., 1992).Marital status hence corresponds to a variety of differences in support networks. It also is a truism that men and women exchange aid differently. Johnson (2000) found that women are more involved with their relatives than are men, contacting them more frequently and giving and receiving more help. Women exchange different types of aid with family and friends than do men, with the type of help often corresponding to gender norms (Rossi & Rossi, 1990). For example, women provide emotional support to members of their network (Wellman & Wortley, 1990) and men use their job skills to help each other (Wellman, Carrington, & Hall, 1988).Prior work thus suggests that both marital status and gender correspond to different types of exchanges between various support network members. This report examines how marital status and gender are intertwined in shaping the types of exchange people give each other. It does so using a sample selected to maximize its racial/ethnic diversity, whereas much of the research cited above is based upon primarily White samples.RESEARCH SITE, METHODS AND SAMPLEThis paper is based on fieldwork conducted in Culver City, California between 1997 and 1999. Culver City was chosen due to its relative diversity. It is one of the few local communities to have a population of 10% or more in each of the four major racial/ethnic groups: nonHispanic Whites (58%), African Americans (10%), Asian Americans (12%), and Hispanics (20%) (U.S. Bureau of the Census, 1994). Culver City is also geographically segregated. This enabled the use of a two-stage probability sample that incorporated block stratification by the four racial/ethnic categories. The sampling frame was obtained from 1990 Census block data. Residential blocks with 20 dwelling units or more (328 total) were assigned to one of nine strata based on their racial/ethnic composition. Fifty two blocks then were selected from each stratum via systematic sampling. Twenty dwelling units per block were selected randomly for survey receipt. A total of 1,040 questionnaires were mailed to city households. …
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,009 | 0,001 |
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 source (Gemma direct ou Codex distillé), 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 ».