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Record W1881138995 · doi:10.15210/interfaces.v6i1.6929

Place as displacement in P.K. Page’s “brazilian House”.

2012· article· en· W1881138995 on OpenAlexaboutno aff
Sigrid Rénaux

Bibliographic record

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicLiterature, Culture, and Criticism
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPoetryArtId, ego and super-egoDisplacement (psychology)Relation (database)Order (exchange)Art historyPhilosophyLiteraturePsychoanalysisPsychology

Abstract

fetched live from OpenAlex

Dentro da perspectiva de “place” (lugar) “displacement” (deslocamento) como características do discurso pós-colonial, como também do conceito de “estranhamento” de Shklovski, este trabalho faz uma leitura de “Brazilian House” de P.K.Page, a fim de discutir como este poema reflete não apenas sua sensação de “deslocamento” em relação a seu “eu” canadense, ao confrontar o novo espaço físico que irá habitar no Rio de Janeiro e sua estranheza ao se deparar com o “outro” – os empregados da casa, com os quais irá interagir. O poema, como construção verbal, também irá se libertar do “eu” do poeta e, ao ultrapassar suas “memórias e associações pessoais”, seu “desejo de auto-expressão”, irá adquirir “sua própria realidade”, ampliando deste modo as implicações teóricas de “lugar” e “deslocamento” e, conseqüentemente, seu potencial interpretativo. Abstract: within the perspective of place and displacement as features of post-colonial discourse, as well as of Shklovski’s concept of “defamiliarization”, this paper presents a reading of P.K. Page’s “Brazilian House” in order to discuss how this poem reflects her sense of displacement, in relation to her Canadian self, as she confronts the new physical space she is going to inhabit in Rio, and her sense of estrangement as she confronts the other – the intriguing staff of servants she is going to interact with. The poem, as a verbal construct, will also free itself from the poet’s ego and, by moving beyond her “ private memories and associations” and her “desire for self-expression”, it will acquire “its own kind of reality”, thus amplifying the theoretical implications of “place” and “displacement” and, consequently, its interpretive potential.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.985
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.022
GPT teacher head0.242
Teacher spread0.220 · 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 designNot applicable
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
Published2012
Admission routes1
Has abstractyes

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