A tale type and motif index of early U.S. almanacs

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Bibliographic Information

A tale type and motif index of early U.S. almanacs

J. Michael Stitt and Robert K. Dodge

(Bibliographies and indexes in American literature, no. 14)

Greenwood Press, 1991

Available at  / 12 libraries

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Includes bibliographical references (p. 1-46)

Description and Table of Contents

Description

Early American almanacs are fascinating resources for insight into the life, attitudes, and culture of the new nation. Along with calendars and maps, political events, agricultural advice, medicinal cures, and other information, many almanacs printed tales, stories, and jokes designed to entertain. Never before systematically organized, most of this narrative material has remained obscure for two hundred years. Here a literary scholar and a folklorist combine skills to catalog and index this material from over a thousand almanacs according to the standard methodology established by the Aarne-Thompson Type and Motif Indexes. The volume illuminates much of the richness in content and form of this materials. In content, there are stories dealing with ethnic and racial groups; with animals; with members of professions and trades; servants, bumpkins, and tricksters--often stereotypical and antifeminist. In form, there are puns; humorous anecdotes; and comic, tragic, and fabulous tales, including tales with literary counterparts and tales with folk counterparts, notably the classic American tall tales. The Motif Index and a shorter Tale Type Index comprise the heart of the volume. Also included are a bibliography of the almanacs indexed and an index of subjects. The work begins with detailed information on how the index was constructed and how to use it. Of value to folklorists and students of American humor and popular culture, the volume should also expose an interesting body of material for further study and enjoyment.

Table of Contents

Indroduction Bibliography of Almanacs Tale Type Index Motif Index Index to the Motif Index

by "Nielsen BookData"

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