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“Snow Fall”-ing Special Collections & Archives
Get PDF“Snow Fall” is a Pulitzer Prize winning, digital storytelling project produced by the New York Times. It represents the next step in long-form digital journalism. The web application tells a compelling story about the fate of sixteen skiers and snowboarders during an avalanche. The textual element of the story is wrapped in a slick interface with gently appearing and disappearing images, strategically positioned HTML5 video and image slideshows, maps, and 3-D visualizations. Its title, “Snow Fall,” has become a verb in the digital journalism world. Upon seeing “Snow Fall” and other similar projects, the authors started to make the connection between this form of storytelling and Special Collections. Special Collections are full of interesting, rich, and unique stories. Their digital representation, however, while widespread in systems such as ContentDM, can be lacking in sensory appeal. Because of this, the authors developed a “Snow Fall”-like application for a Special Collections’ exhibit, “Cradle of Coaches,” in the fall of 2013. In addition to this exhibit, they have developed two more using the same template.
They feel that this is a new and exciting medium to tell the stories within special collections and archives, as well as general stories about libraries themselves
Anticipatory socialization for retirement: A multilevel dyadic model
No full textRole theory, widely used to examine human behavior, has often been used to describe the transition from work to retirement. Anticipatory socialization, a role theory concept, describes the process that occurs prior to role transitions and assists in that transition by helping individuals learn the norms for the new role. However, not all workers engage in retirement planning. Lack of retirement planning is of concern because those individuals who do not plan for major life transitions tend to be less successful in adjusting to role changes. Data from the Health and Retirement Study were used; selection criteria required participants to be age 45 or older, working full- or part-time, and have complete data for the study variables. Multilevel modeling results of dyadic data from the Health and Retirement Study (N = 1,028 dual-earner couples) indicate that older age, being White, higher income, greater retirement wealth, and looking forward to retirement predicted greater anticipatory socialization (i.e., thinking about and discussing retirement) by both husbands and wives. For wives only, having a health problem limiting work, higher spouse occupational status, and having a spouse who was looking forward to retirement predicted more anticipatory socialization. For husbands only, higher education, higher depressive symptomatology, and lower occupational status predicted more anticipatory socialization. This study found evidence of spousal congruence, with husbands, on average, engaging in more anticipatory socialization than wives. These findings identify couples that could most benefit from targeted efforts to increase anticipatory socialization, which predicts better retirement adjustment and satisfaction
