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Record W7040909492

Reviews

2016· review· en· W7040909492 on OpenAlexaboutno aff

Bibliographic record

VenueDigitalCommons - WayneState (Wayne State University) · 2016
Typereview
Languageen
FieldSocial Sciences
TopicGerman Social Sciences and History
Canadian institutionsnot available
Fundersnot available
KeywordsComicsSpellState (computer science)MAGIC (telescope)FantasyWhite (mutation)
DOInot available

Abstract

fetched live from OpenAlex

Contes: Charles Perrault. Edited by Tony Gheeraert. Review by Charlotte Trinquet du Lys, University of Central Florida.The Golden Age of Folk and Fairy Tales: From the Brothers Grimm to Andrew Lang. Edited by Jack Zipes. Review by Brittany Warman, The Ohio State University.Long, Long Tales from the Russian North. Translated and edited by Jack V. Haney. Review by Jeana Jorgensen, Butler University.Channeling Wonder: Fairy Tales on Television. Edited by Pauline Greenhill and Jill Terry Rudy. Review by Amanda Firestone, University of Tampa.The Disney Middle Ages: A Fairy-Tale and Fantasy Past. Edited by Tison Pugh and Susan Aronstein. Review by Kari Maaren, Ryerson University. Entranced by Story: Brain, Tale, and Teller from Infancy to Old Age. By Hugh Crago. Review by Marek Oziewicz, University of Minnesota.Fairy Tales with a Black Consciousness: Essays on Adaptations of Familiar Stories. Edited by Vivian Yenika-Agbaw, Ruth McKoy Lowery, and Laretta Henderson. Review by Maria Tatar, Harvard University.Film and Fairy Tales: The Birth of Modern Fantasy. By Kristian Moen. Review by Kendra Magnus-Johnston and Kirstian Lezubski, University of Winnipeg.Grimm Legacies: The Magic Spell of the Grimms’ Folk and Fairy Tales. By Jack Zipes. Review by Claudia Schwabe, Utah State University.Here Be Dragons: Exploring Fantasy Maps and Settings. By Stefan Ekman. Review by Christy Williams, Hawai‘i Pacific University.Moonshot: The Indigenous Comics Collection, Volume 1. Edited by Hope Nicholson. Review by Scott Nalani Ka‘alele, University of Hawai‘i, Mānoa.The Dead Lands. Directed by Toa Fraser. Performed by James Rolleston, Lawrence Makoare, and Te Kohe Tuhaka. Review by Norman Fua’alii Thompson III, University of Hawai‘i, Mānoa.Never Alone (Kisima Ingitchuna). Upper One Games. Review by Donovan Kūhiō Colleps, University of Hawai‘i, Mānoa.Pinocchio. Directed by Enzo D’Alò. Performed by Gabriele Caprio, Mino Caprio, Rocco Papaleo, Paolo Ruffini, Maurizio Micheli, Maricla Affatato, and Lucio Dalla. Review by Marnie Campagnaro, University of Padua, Italy.Sinalela. Written and directed by Dan Taulapapa McMullin. Review by Tagi Qolouvaki, University of Hawai‘i, Mānoa.

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)0.002
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.739
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0050.004
Science and technology studies0.0010.001
Scholarly communication0.0060.004
Open science0.0030.003
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.2610.244

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 head0.078
GPT teacher head0.320
Teacher spread0.242 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations0
Published2016
Admission routes1
Has abstractyes

Explore more

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