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Record W2274084032 · doi:10.14288/1.0105493

A study of social life in the Satires of Juvenal

2011· article· en· W2274084032 on OpenAlexaff
Bashwar Nagassar Surujnath

Bibliographic record

VenuecIRcle (University of British Columbia) · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicMedieval European Literature and History
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSocial lifeHistoryArtEthnology

Abstract

fetched live from OpenAlex

The purpose of this thesis is not to deal with the literary merit and poetic technique of the satirist. I am not asking whether Juvenal was a good poet or not; instead, I intend to undertake this study strictly from a social and historical point of view. From our author's barrage of bitter protests on the follies and foibles of his age I shall try to uncover as much of the truth as possible (a) from what Juvenal himself says, (b) from what his contemporaries say of the same society, and (c) from the verdict of modern authorities. I shall try to get behind the busy political events of the period and distinguish as clearly as possible the different kinds of people and social activities of the time, relying chiefly on the primary source, the Satires of Juvenal. The results of this study show that the Satires do provide much worthwhile evidence about the society of the people whose lives went into the making of the culture to which our own is so much in debt. The social history of the epoch cannot be underestimated: "Its importance in universal history it can never lose", said Lord Bryce, "for unto it all the life of the ancient world was gathered, out of it all the life of the modern world arose." For our own age the social life in the Satires of Juvenal ought to have special interest, as there are considerable resemblances between modern society in the great cities and the busy life that surged before Juvenal's eyes in Rome eighteen centuries ago.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.835
Threshold uncertainty score0.930

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 head0.035
GPT teacher head0.172
Teacher spread0.138 · 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 designQualitative
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
Published2011
Admission routes1
Has abstractyes

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Same venuecIRcle (University of British Columbia)Same topicMedieval European Literature and HistoryFrench-language works237,207