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Record W4310213286 · doi:10.12775/ll.2.2022.006

Contemporary Folklore and Podcast Culture: Towards Democratization of Knowledge and Re-Oralization of Culture

2022· article· en· W4310213286 on OpenAlexaffabout
Ceallaigh S. MacCath-Moran, Aldona Kobus

Bibliographic record

VenueLiteratura Ludowa · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicFolklore, Mythology, and Literature Studies
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsFolkloreScholarshipStorytellingCraftDemocratizationPopular cultureMedia studiesLiteratureNarrativeParticipatory cultureHistorySociologyArtAnthropologyVisual artsPolitical scienceLawPoliticsDemocracy

Abstract

fetched live from OpenAlex

Ceallaigh S. Maccath-Moran is a PhD candidate in the Folklore Department at Memorial University of Newfoundland, a writer, a poet and a musician. Ceallaigh’s research interests include animal rights activism as a public performance of ethical belief, which is the topic of her dissertation, and creative applications of folkloristic scholarship for storytellers. Her Folklore & Fiction podcast, “where folklore scholarship meets storytelling craft”, launched in 2021.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.875
Threshold uncertainty score0.651

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.023
GPT teacher head0.248
Teacher spread0.225 · 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 teacher head, not a consensus.

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

Citations2
Published2022
Admission routes2
Has abstractyes

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