O Elogio de Helena de Isocrates: argumentação em muitas camadas
Bibliographic record
Abstract
RESUMO Por volta de 390 a.C., Isócrates escreveu um texto dedicado à mítica Helena, Elogio de Helena. Segundo o rétor, seu objetivo era enaltecer aquela personagem, reconhecida em duas das principais obras de Homero, a Ilíada e a Odisseia. Embora o texto isocrático já tenha sido exaustivamente estudado, acreditamos que a Análise do Discurso proporcionará uma visão mais aprofundada do texto e de suas estratégias argumentativas. Assim, nosso objetivo é analisar como se deu a construção argumentativa do Elogio de Helena. A partir da análise foi possível perceber que os discursos possuem diferentes camadas, que Isócrates utiliza a história de Helena como base para sua argumentação e que o retórico reproduz imaginários de feminilidade e masculinidade, embora este não fosse um objetivo explícito.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".