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Record W4323789497 · doi:10.33137/ic.v30i.39469

My Kinky Greek Mythology

2022· article· en· W4323789497 on OpenAlexvenueno aff
Maria Luisa Ierfino-Adornato

Bibliographic record

VenueItalian Canadiana · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicClassical Antiquity Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMythologyArtPsychologyLiterature

Abstract

fetched live from OpenAlex

Homer's Iliad and Odyssey pop into my psyche as we cross the strait of Messina, (the region of my ancestors, once known as Magna Graecia).The Mediterranean Sea is bluffing as it appears to be perfectly still and deep.I know that it safeguards sultry secrets from our collective past.I am humoured.The mythical Sirens entice us to delve into the sea to learn those secrets, but I am no fool.I repeat the Sting lyrics louder and louder (from the 1983 song Wrapped Around Your Finger), so they will "not turn my face to alabaster."You consider me the young apprentice Caught between the Scylla and Charybdis be I have only come here seeking knowledge Things they would not teach me of in college Determined to bite the proverbial apple, I plunge into my kinky Greek mythology 101.Scylla, a beautiful nymph, would turn into a monster upon entering the Mediterranean Sea.She lives on one side of a narrow

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.787
Threshold uncertainty score1.000

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.031
GPT teacher head0.294
Teacher spread0.262 · 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.

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

Citations0
Published2022
Admission routes1
Has abstractyes

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