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Record W4376106140 · doi:10.53288/0361.1.09

How to Domesticate a Georgian Goblin

2023· book-chapter· en· W4376106140 on OpenAlexaff
Paul Manning

Bibliographic record

VenuePunctum Books · 2023
Typebook-chapter
Languageen
FieldArts and Humanities
TopicFolklore, Mythology, and Literature Studies
Canadian institutionsTrent University
FundersAustralian Research Council
KeywordsGeorgianFolkloreDomesticationDialog boxHistoryArtSociologyGenealogyLiteraturePhilosophyEcologyBiology

Abstract

fetched live from OpenAlex

A fictionalized dialog assembled out of real folkloric narratives of various kinds, the paper acts as an overview of the various kinds of goblins in the folklore of the country of Georgia. A common motif of Georgian imaginings of human-goblin relationships revolves around whether the goblins are homeless (Chinkas, Alis) and therefore can be forcibly domesticated by cutting their unshorn hair or nails; or whether they have a home of their own somewhere (Kajis, Tqashmapa), in which case, they cannot be domesticated to become servants in your household. Each goblin type represents a kind of weird version of a known kind of human generic social other, and the imagined perilous social or sexual relationships one can have with them reveal anxieties about corresponding relationships with ordinary social others, particularly the very large number of female nymph-like spirits, which pointedly dwell on anxieties revolving around exogamous marriage to strangers and marriage by abduction.

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)0.001
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.031
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0120.013
Scholarly communication0.0030.004
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.002

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 head0.041
GPT teacher head0.231
Teacher spread0.190 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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