MétaCan
Menu
Back to cohort
Record W2800022735 · doi:10.1556/068.2017.57.2-3.5

Juno in the proemium of Ovid’s Fasti 6: Considerations on the reconciliatory role of the goddess

2017· article· en· W2800022735 on OpenAlexaff
Beatrice Poletti

Bibliographic record

VenueActa Antiqua Academiae Scientiarum Hungaricae · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicClassical Antiquity Studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCultLiteratureEtymologyPeriod (music)PoliticsReading (process)ArtHostilityHistoryPhilosophyAncient historyAestheticsLawLinguisticsPsychology

Abstract

fetched live from OpenAlex

In the opening ofFasti6, Ovid proposes different explanations for the origin of the month name June by means of a competition between three goddesses: Juno, Juventas, and Concordia. Each goddess puts forth an etymology for June that derives from her own name or individual attributions, alimenting the indecisiveness of the poet who eventually walks out of the scene unable to return a verdict. As she is depicted in this text, Juno might appear as a parodic version of the Virgilian goddess and the ideas she represents. To a close reading, however, it is evident that Juno has retained her reconciliatory function, which has allowed the Roman development, and moreover has been enriched by characteristics that look back at her ancient Italian cult and, at the same time, place her in the new Augustan reality. In particular, Ovid blends the early martial and political aspects of the goddess with her function as protectress of legitimate marriage, which seems to have been prominent in the Augustan period. In fact, Ovid emphasizes that conjugal union is the means by which Juno ends her hostility and enables further growth and development.

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)0.002
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: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0060.010
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.056
GPT teacher head0.334
Teacher spread0.279 · 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
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
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueActa Antiqua Academiae Scientiarum HungaricaeSame topicClassical Antiquity StudiesFrench-language works237,207