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Record W2949209697 · doi:10.37095/gephyra.420760

Brogitaros and the Pessinus-Affair Some Considerations on the Galatian Background of Cicero’s Lampoon against Clodius in 56 BC (Harusp. Resp. 27–29)

2018· article· en· W2949209697 on OpenAlexaff
Altay Coşkun

Bibliographic record

VenueGephyra · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicClassical Antiquity Studies
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsCiceroPoliticsRhetoricAgency (philosophy)Section (typography)ClassicsExtant taxonHistoryLiteratureRhetorical questionPhilosophyLawPolitical scienceArtEpistemologyTheology

Abstract

fetched live from OpenAlex

All of our extant literary sources on the history of Pessinus in the Hellenistic age involve Roman agency. For the most part, they are strongly shaped by a specifically Roman perspective that focuses on Roman political or economic interests, and in a way that significantly limits, if not distorts, the information on the sanctuary itself. A telling example is a section from Cicero’s fervent lampoon against Publius Clodius, De haruspicum responsis 27–29. This is our main source for the law that granted the control of Pessinus to the Trokmian Brogitaros at the cost of the Tolistobogian Deiotaros. Cicero’s rhetoric has encouraged modern scholars to contextualize this incident within Roman Republican strives – which is indeed pertinent –, but, at the same time, discouraged attempts to better understand specifically Galatian agency behind the conflict. However, a subtle analysis of Ciceronian polemics, especially a reflection on what Cicero does not say, will allow us to put forward some plausible hypotheses about the otherwise poorly attested history of Pessinus after the end of the Attalid Kingdom in 133/129 BC. By doing so, we shall gain further arguments for the view that Tolistobogian interest in Pessinus was very late, and that the development of this emporion to the urban center of the Tolistobogians may well have started as late as around 60 BC.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.642
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.003
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 head0.055
GPT teacher head0.315
Teacher spread0.260 · 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 designTheoretical or conceptual
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
Published2018
Admission routes1
Has abstractyes

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