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Record W4365472813

De-metaphorizing and becoming animal: when the animal looks back. A reading of Marian Engel’s Bear = Desmetaforizando e tornando-se animal: quando o animal retorna o olhar. Uma leitura do romance Bear, de Marian Engel

2011· article· en· W4365472813 on OpenAlexaboutno aff
Alessandra Meoni

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicBorges, Kipling, and Jewish Identity
Canadian institutionsnot available
Fundersnot available
KeywordsRomanceReading (process)ArtHumanitiesLiteraturePhilosophyLinguistics
DOInot available

Abstract

fetched live from OpenAlex

The primacy acquired by nature in our current culture has given way to several issues not strictly connected with an immediate and ‘purely’ ecological interest: there is rather the need to question how we conceive the animal with a focus on the possibility to transcend Western cultural heritage. When trying to give a literary representation of the animal, it is particularly important to adopt some measures which, following the trajectory of a genuine, positive ‘becoming-animal’, will safeguard its independence and avoid reducing it to metaphorically anthropomorphic representations. This essay intends to underline how, from this viewpoint, a few novels coming from the post-colonial area, where animal tales often show how interwoven humans and animals are and how they are constructed in relation to each other supply interesting case studies. My interest focuses particularly on Canadian Marian Engel’s Bear, where the writer tries to deal with unspeakable subjects between a woman and a bear: through an act of radical approach to its physical reality, the former comes first to recognize the latter, and then to accept its Otherness. On its side, the bear seemingly ‘shows’ a post-colonial attitude subversively resisting a typically Western anthropomorphic allegorization. Holding fast to itself and its animality, choosing in a way to ‘stay mute’, the bear keeps the role of a ‘perceptivecatalyst’, ‘thought-producing’ and thus ‘world-changing’, according to an aesthetics of perception suggesting that the animal gaze might be the best perspective from which to observe not only our world, but especially our own selves.<br><br>Uma leitura do romance Bear, de Marian Engel. A primazia adquirida pela natureza sobre a acultura em nossos dias abriu o caminho para vários problemas não exatamente ligados a interesses imediatos ou puramente ecológicos. Pode-se perguntar como poderemos conceber oanimal tendo como foco a possibilidade de transcender a herança cultural ocidental. Quando tenta-se dar uma representação literária ao animal, é extremamente importante adotar certas medidas as quais, seguindo uma trajetória como tornar-se animal de maneira genuína edeterminada, garantirá sua independência e evitará reduzi-lo a representações metaforicamente antropomórficas. Este artigo destaca como, a partir deste ponto de vista, alguns romances inscritos pelo pós-colonialismo, em que fábulas de animais frequentemente mostram a maneira das interações entre homens e animais e como elas são construídas em relação umas com as outras, propiciando casos interessantes. O principal interesse aqui é o romance Bear da escritora canadense Marian Engel, no qual a escritora trata de assuntos escabrosos entre uma mulher e um urso: por meio de abordagem radical à sua realidade física, a mulher, primeiro, reconhece o ursoe depois aceita a sua alteridade. Por outro lado, parece que o urso ‘mostra’ uma atitude póscolonial pela resistência subversiva à alegorização antropomórfica tipicamente ocidental. Agarrando-se a si mesmo e a sua animalidade e escolhendo ficar ‘mudo’, o urso assume o papel de um ‘catalizador perceptivo’, criador de pensamentos, e, consequentemente, um transformador no mundo, de acordo com uma das estéticas da percepção, sugerindo que o olhar do animal poderia ser a melhor perspectiva para observar a realidade e, de modo especial, a nós mesmos.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.239
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0040.004
Open science0.0030.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.000

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 head0.296
GPT teacher head0.445
Teacher spread0.149 · 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 designObservational
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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