A leitura do feminino em Anne de Green Gables e Anne com e
Bibliographic record
Abstract
This study aims to investigate the retextualization of the feminine in Anne of Green Gables (2019) in the first season of the series Anne with an E (2017). This book was written by Lucy Maud Montgomery and published for the first time in 1908 in Canada, the choosen edition for was published in Brazil in 2019 and covers the story of the character Anne Shirley and her experiences. The series titled Anne with an E is an intersemiotic adaptation created by Canadian Moira Walley-Beckett and made available on the Netflix streaming platform. The character Anne Shirley provides readers and viewers with messages of change, reflection and action; So, what is the interpretation of the feminine in the book and in the television series? The methodology used was the qualitative analysis of objects through bibliographical research, using the following theories: Tradução Intersemiótica (Plaza, 2010); Teoria da Adaptação (Hutcheon, 2013); Intermidialidade (Clüver, 2011); Estudos femininos (Hooks, 2022); Memória (Bosi, 2022) e (Elias, 1998). It is fundamental to organize the analysis into subtopics: Society, Education and Culture, highlighting the fictional city of Avonlea as the focus. The raised questions are: How are women represented in society? What is the perspective regarding female education? What are the social behaviors presented in the corpus? The results obtained were: the importance of intersemiotic translation in establishing links between cultures, promoting the dissemination of information, ideologies, stories. In addition to introducing the presentation of the main character as a vanguard in her socio-historical context. As per conclusion, it is necessary to investigate and translate Montgomery's writings in Brazil.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.010 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".