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Record W1518329182

Brothers and Beasts: An Anthology of Men on Fairy Tales

2010· article· en· W1518329182 on OpenAlexvenueno aff
Jeremey Stoll

Bibliographic record

VenueEthnologies · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicFolklore, Mythology, and Literature Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFolkloreTransformative learningNarrativeStorytellingLiteraturePower (physics)Context (archaeology)Reading (process)CraftHistoryArtSociologyVisual artsPhilosophyLinguistics
DOInot available

Abstract

fetched live from OpenAlex

Brothers and Beasts: An Anthology of Men on Fairy Tales. Edited by Kate Bernheimer. (Detroit: Wayne State University Press, 2007. Pp. xx+191, table of contents, contributors, ISBN 0-8143-3267-6, pbk.) In the Introduction to Brothers and Beasts: An Anthology of Men on Fairy Tales, Kate Bernheimer describes her own experiences with fairy tales, telling how she sympathized first with brothers like Hansel and Blockhead because of an underlying affinity with the underdog. She draws on this affinity in describing the importance of fairy tales, as an underdog among narratives, and in noting that traditions of telling tales continue as long as people continue to return to them in their daily lives. This collection demonstrates just this transformative power of reading and telling fairy and folk tales in providing new insights that preserve traditions. As Maria Tatar writes in the Foreword, the excitement of this experience leads ... to transformative experience that recognizes the degree to which language--'strange words'--is the portal to knowledge and to an understanding of what really matters to us (xx). Both Bemheimer and Tatar provide strong context for the stories that follow; over the course of this anthology, each contributor demonstrates how and how strongly the words that constitute stories, most especially fairy and folk tales, change us, as readers and writers, and as adults and children. As an anthology that lies at the intersection of Creative Writing and Fairy Tale Studies, if not Folklore more generally, Brothers and Beasts grows out of the previous collection, Mirror, Mirror on the Wall: Women Writers Explore Their Favorite Fairy Tales, after men's voices were pushed out of the original anthology. However, Bernheimer notes the importance of these essays, poems, stories, and otherwise in working together to unsettle prejudices against men, fairy tales, and men's relationships with feminine tales. As result, though, the submission process for this collection posed more problems since male authors were more difficult to get to submit work, due to range of responses, from embarrassment at the fairy tale roots of their own work, to sense that the topic was either too big or too personal to put into words. Bernheimer thus highlights the importance of questioning such bias, although she directly states that this collection will not focus on gender and fairy tales. Instead, Brothers and Beasts provides space for men who love fairy tales to participate in a diverse dialogue about what fairy tales mean to our lives that does not provide easy answers about men and these tales, but instead demonstrates diversity of approaches. While the voices in this collection clearly do not provide easy answers for scholars, they do provide space for men to consider how they live with these tales. Further, the structure pushes the reader to include him or herself in this negotiation, as the chapters are arranged in alphabetical order, with the first few lines provided in the Table of Contents. The stated goal is that readers may pick up wherever they find their own interests lie and create structure all their own. While this collection tends toward an interest in writing, as demonstrated by Jirf Cech's rambling description of his father's rambling Czech tales, the reader provides the structure for the dialogue. …

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.012
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0060.003
Scholarly communication0.0050.003
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0120.002

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.

Opus teacher head0.026
GPT teacher head0.273
Teacher spread0.247 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations1
Published2010
Admission routes1
Has abstractyes

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