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Record W4379530187 · doi:10.1353/mat.2020.a766028

Stahlbaum und Mausek�nig

2020· article· de· W4379530187 on OpenAlexaboutno aff
Katie Owen

Bibliographic record

VenueMarvels & Tales · 2020
Typearticle
Languagede
FieldArts and Humanities
TopicFolklore, Mythology, and Literature Studies
Canadian institutionsnot available
Fundersnot available
KeywordsComicsNewspaperFriendshipArt historyArtState (computer science)The artsVisual artsMedia studiesHistorySociologyLiterature

Abstract

fetched live from OpenAlex

Stahlbaum und Mausekönig Katie Owen (bio) Click for larger view View full resolution Marvels & Tales: Journal of Fairy-Tale Studies, Vol. 34, No. 1 (2020), pp. 23. doi: 10.13110/marvelstales.34.1.0023 Copyright © 2020 by Wayne State University Press, Detroit, MI 48201. [End Page 23] Katie Owen Katie Owen is a Canadian visual artist and member of the Guelph Arts Council Governance Committee. She is the founder of the Friendship House Gallery, comics illustrator for The Burford Advance Newspaper, and artist educator for multiple galleries. Katie has a masters in visual culture from the University of Guelph. Copyright © 2020 Wayne State University Press

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)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.098
Threshold uncertainty score0.328

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0030.002
Scholarly communication0.0060.005
Open science0.0010.006
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0980.057

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 head0.039
GPT teacher head0.256
Teacher spread0.218 · 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 designTheoretical or conceptual
Domainnot available
GenreEmpirical

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
Published2020
Admission routes1
Has abstractyes

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