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Record W4233379958 · doi:10.4000/books.pulm.8783

M. NourbeSe Philip’s Poetics of Justice: Reacquiring the Tongue, (W)ri(gh)ting African-Caribbean History

2012· book-chapter· en· W4233379958 on OpenAlexaboutno aff
Myriam Moïse

Bibliographic record

VenuePresses universitaires de la Méditerranée eBooks · 2012
Typebook-chapter
Languageen
FieldSocial Sciences
TopicCaribbean history, culture, and politics
Canadian institutionsnot available
Fundersnot available
KeywordsPoetryPoeticsEconomic JusticeLiteratureHistoryArtSociologyLawPolitical science

Abstract

fetched live from OpenAlex

Trinidadian Canadian poet M. NourbeSe Philip practised Law for seven years in Toronto before devoting her life to her writing in 1983. Philip’s work is a hybrid mixture of genres as over the last decades the author produced a number of prolific essays, fiction and poetry work. To her, law and poetry share an obsession with language and in fact, her work is influenced by the material and concrete aspect of the legal text as well as by the fluid and abstract nature of the poetic text. Philip’s work is reminiscent of a poetic court where the writer appears to take proceedings against dominant discourses or to turn the previously accepted evidence upside down while the reader becomes a juror who is to return a new verdict. As ’she tries her tongue’ (1989), Philip aims at retelling African Caribbean history from the perspective of the oppressed thus demonstrating how fundamental it is for the Caribbean writer to engage with history. As a matter of fact, this paper seeks to demonstrate to what extent Philip’s former profession has contributed to shape her writing through which she attempts to reacquire her tongue and to express her thirst for historical truth and social justice. Hence, to what degree are legal and Euro-centric accounts of African history being challenged by Philip’s texts? Ultimately, does the fragmentation of the text genuinely allow the poet to write/right her history, to mourn her African ancestors and to ’make the black hole (w) hole’ (1997)?

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), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.868
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.030
GPT teacher head0.256
Teacher spread0.226 · 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
GenreOther

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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