Icarius daughter, well-behaved Penelope : métis and kléos of Homer’s weaver queen
Bibliographic record
Abstract
A presente pesquisa, denominada “A filha de Icário, Penélope bem-ajuizada: métis e kléos da rainha tecelã de Homero”, pretende averiguar de que maneira Penélope, personagem do épico homérico Odisseia, utiliza-se da tecelagem para articular sua astúcia e, assim, alcançar fama em sua comunidade. Considera-se Penélope como um paradigma, com o intento de realizar uma análise sobre as diferentes representações do feminino manifestas na Odisseia, de modo a refletir sobre possíveis correspondências entre a filha de Icário e demais personagens femininas retratadas na epopeia com os princípios formadores de comportamentos e práticas sociais relativas às mulheres gregas do século VIII a.C. Assume-se a prerrogativa de que a tecelagem de Penélope, ao ser efetuada com inteligência astuciosa, permite-lhe obter mais do que um tecido, na medida em que contribui para a propagação de sua fama. Reconhecendo o prestígio conferido pelos gregos aos poemas homéricos, ao privilegiarem-se os aportes teóricos do imaginário e da representação, torna-se possível verificar como Penélope e as demais personagens da Odisseia, concomitantemente, inspiravam e expressavam os principais atributos das mulheres gregas do explanado período histórico.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.008 | 0.008 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".