Encyclopedia of Women's Folklore and Folklife ed. by Liz Locke, Theresa A.Vaughan, and Pauline Greenhill (review)
Bibliographic record
Abstract
Encyclopedia of and Folklife. Ed. Liz Locke, Theresa A. Vaughan, and Pauline Greenhill. (Westport, CT: Green- wood Press, 2009. Pp. xvii + 777, list of entries, guide to related topics, preface, overview essays, selected bibliography/websites, index, contrib- utors.)Edited by folklore scholars Liz Locke, Theresa A. Vaughan, and Pauline Greenhill, this impres- sive, two-volume encyclopedia makes a historic contribution to folklore studies, cultural an- thropology, as well as women's and gender stud- ies. With over 260 carefully researched entries, it spans a massive terrain of topics from abor- tion to Yellow Mfoman/Irriaku stories. Special features include four excellent overview essays surveying the present state of scholarship on women's folklore and folklife around the world: Women's (by Pauline Greenhill, Di- ane Tye, and Norma E. Canto), Folklore about (by Pauline Greenhill), Folklore of Subversion (by Jessica Senehi), and Women Folklorists (by Norma E. Cantu, Pauline Greenhill, Diane Tye, and Rachelle H. Saltzman). Arranged alphabetically, the essays and entries explore a wide range of topics re- lated to women's folklore and folklife. The en- cyclopedia is clearly organized and easily ac- cessible; at the front of each volume there is an alphabetical list of entries and a guide to related topics, which organizes entries in broad catego- ries (such as as a Profession, or Mate- rial Culture) designed to help readers find in- terconnected terms. Each item includes a bibliography of useful sources. The Selected Bibliography/Web Sites at the end of Volume 2 identifies essential print and electronic re- sources relevant to the study of women's folk- lore and folklife in general.The overview essays discuss how this work emerged in the 1970s and developed a rich his- tory in the following four decades. The ency- clopedia brings together the many perspectives and contributions of scholars who have docu- mented and theorized about folklore by women and folklore about women, and developed in- sightful feminist analyses of folklore. The pref- ace provides the guiding principles that shape the encyclopedia, including a brief recognition of changing notions of the folk (for the most part, they are us, p. xix) and acknowledgment that while there is some attention in these vol- umes to folklore in societies around the world, much of the research and focus is on North America. Several of the authors, including co- editor Pauline Greenhill, are Canadian and bring much-needed expertise on Canadian folklore to the choice of entries and their anal- ysis. In addition to many diverse topics, there are 15 articles focusing on particular regions of the world (e.g., Middle East or Central Asia). These provide useful contextual information to assist the reader in better understanding folk- loric behavior in specific cultures and locations. …
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.006 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.091 | 0.039 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".