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MONK : Transformation
This page last changed on Mar 23, 2007 by kuszkalo@ualberta.ca.
Kirsten C. Uszkalo - scholar/guest curator Troubling Transformations: The Witches in Early Modern England Project Problem/Question: Women in early modern England did not suddenly appear as witches, scratching at their neighbors' doors. Nor did the interpersonal tensions between women explode into trials and executions until an accuser came to understand the accused as a witch. The OED defines a witch as a "female magician or sorceress" who is "supposed to have dealings with the devil or evil spirits and to be able by their co-operation to perform supernatural acts." In practice, however, the parameters that defined a witch were less distinct. In fact, a woman first had to be seen as the proper kind of candidate, and publicly labeled a witch before the law could be brought in. The witch's physical body needed to display, or adopt, the key signifier - the witch's mark, her identity needed to extend to include a familiar, and her new job title needed to receive the forthright endorsement of her community, before she could even begin to be publicly persecuted as a witch. I am looking at published early English witchcraft tracts. I have a number of research question in regards to this work; however, I'd like to present three interrelated questions which focus on the problems and possibilities associated with issues of transformation. 1) How can we trace the familiar which will not even stay in the same shape? The familiar is, for the most part, an animal spirit which does the witch's dirty work for her. It is through the familiar, rather than spell casting, that witch's hurt their victims. How do we investigate the slippery and morphing familiar whose presence in the text is what publicly signifies a woman as a witch, but whose name, form, and use may change based on who owns it and what use they put it to? The first published witchcraft case is that of Mother Waterhouse and her familiar Sathan (1566). It creates a blueprint for the economics of the familiar which will continue to frame published cases to come. The story began when Elizabeth Francis testified that her grandmother, Eve of Hatfield Peverell, taught her to renounce God and give her blood to Sathan. Sathan appeared as a cat, which she kept in a basket and fed with bread and milk. Francis gave the cat to Mother Waterhouse for whom it first appeared as a cat, then morphed into a frog, next became a frightening dog when her daughter Mary needed it to frighten Agnes Brown, and finally became a devil-dog when it actually appeared to Brown. 2) How can we reconcile the meaning of a witch's mark which keeps moving, has its meaning morph, and mutates its owner? Women were identified as witches in a number of critically inescapable ways - they could not be hurt unless their protective and unnatural hardness was scratched or pierced; they were insensitive to pain in the place the devil marked them; they could not cry and would be rejected by water (and thereby float); they were old, ugly, and stupid; but most critically, they had a witch's mark - a symbol of their demonic pact. Locating and exposing the hidden witch's mark was considered irrefutable proof that a woman was a witch. The trouble with witch's marks is that they changed. Like the familiar which sucked from them, their form and function morphed. The witch's mark began as a kind of invisible, insensible mark, morphed into a flea-bit of a sore, became an excrescence where a familiar would bit or suck, then became a kind of nipple which lactated unpurified blood, and that nipple moved into the witch's genitals. The mark also changed meaning - from a sign of power, to a way to renew a contract, to a means of placating a feisty familiar, to a kind of sexual organ used to pleasure the beast and hurt its bearer. 3) How can we trace the series of accusations, cross-accusations, relationships, and gossips which turned a restless baby in 1657 into a double execution in March 1662? How can we trace the movement of accusations? In the case of the Lowestoft witches the suspicions against Amy Denny began in March of 1657 with the illness of Dorothy Durrant's son. In 1659, Elizabeth Durrant dies of maleficium. In November 1661 Samuel Pacy's daughters identify Denny and a mystery witch as those responsible for their bewitching. By the end of November, Cullender is recognized by the community as a witch. By February 1662, Cullender is accused of working alone to hurt Susan Chandler. The dizzying series of cross accusations in the community of Lowestoft provided a network where accusation could not only spread, but multiply. In tracing accusations across a community, and mapping how they spread, we can not only see how ideas about power proliferated, but the real way that the same concepts changed lives, one pin-vomiting fit at a time. Status of the research: I have already begun to compile a database of the ways in which these texts connect, looking at the kinds of relationships which appear as significant indicators of meaning within the corpus. Among these are relationship types (mother, sister, sibling, accuser, accused), familiars (shape, type, owners), and descriptors (name, age, significant marks). I have started to use TEI to tag the first texts. I was part of a poster presentation on the WEME project at the 2006 TEI conference in Victoria, British Columbia. The poster had a positive reception and resulted in some help from Julia Flanders, director of the Brown Women's Writers Project who has generously offered to let us use the encoding for the texts in Women Writers Online as a base. Measure of success: Texts needed in the collection: This work can be successful conducted with as few as fifty short tracts (of 6 pages and up) or 300 some odd pages; a better scenario would look at all of the secondary textual material available in EEBO and Cornell; in a perfect universe, it would be wonderful to eventually expand to look at records not yet available in digital form, in order to expand the search to the rest of Europe and North America. Generality: Granularity: Characteristics: The same can be said about witch's marks - they became more sexualized as time passed. A tool that could go out and look for these kinds of patterns would be most useful. Patterns: My research is predicated on my theory that the publication of witchcraft tracts encouraged communities to look for witches in their midst. I would like a tool that could display a map of sixteenth- and seventeenth-century England which would display the location of cases of published cases of witch-craft accusations temporally and geographically. The early work we have done on this illustrates that the publication of tracts suggests a different pattern of accusations than do court records. This suggests that witches were not operating where people, because of publications, assumed they were, and that community infamy had more to do with press than with reality. On a smaller scale, I would also like to be able to map how accusations moved through a community. Although I can trace how that moved from person to person, I am not able to show how word spread without visualization tools. This kind of work will enable me to illustrate not only the kind of influence child and adolescent accusations had on witch-persecutions, but also, in a very real way, how word spread. Morphology: Tags: ... <familiar fID="1" form="2">Sathan</familiar> ... In the supplementary database, the fID attribute would match up to a given familiar's unique identifier, in this case "1" for Sathan. Likewise, the form attribute matches a given form's unique ID (e.g., "3" would identify the form as "dog") in the database. I also need tags to mark people within a text and their relationships to one another, both familial (grandmother, mother and so on) and legal (accusers and victims of witches), and their locations in both time and space. This work relies heavily on the ability to find patterns between tagged and untagged texts. A tool which could look at what I have tagged and go find similar attributes would be most useful. Classification: Comparisons: Topic extraction: Lexicon, counts of words, most common occurrences, concordance: Annotation: Collaboration: |
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