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Record W6996323709

Rewriting History, Post-Coloniality and Feminism: Lee Maracle's Autobiographical Works

2022· article· en· W6996323709 on OpenAlexaboutno aff

Bibliographic record

VenueScientia Insularum Revista de Ciencias Naturales en islas · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicrobial metabolism and enzyme function
Canadian institutionsnot available
Fundersnot available
KeywordsHistoriographyRewritingContext (archaeology)White (mutation)PoliticsHistory of literaturePolitical historyDisplacement (psychology)
DOInot available

Abstract

fetched live from OpenAlex

Lee Maracle’s I Am Woman (1988) and Bobbi Lee. Indian Rebel \n(1990) are autobiographical works that rewrite the conventions of representing \nthe Native in the context of Canadian history and society. \nThrough her autobiographical “I”, Maracle narrates herself as \npoliticalrepresentative for women and for the Métis. \nThis essay aims to investigate Maracle’s political displacement of \nconventional representational practices. The importance of IAW&BLIR \nto revisionary historiography is that both works document the struggle \nof Natives today within a history of resistance. Writing from a position \nof “cultural siege”, “under occupation”, Maracle analyzes her position \nas a Native woman within an active struggle of decolonialization. Hers \nis a new history and historiography different from both white writing \non the Native and traditional Native “historical”, oral narratives. It is \nthe history of struggle in the 1960s and 1970s in a hybrid narrative \nmode. As we shall argue, this is history as narrating, as telling, in traditional \nnative fashion, but within recognizable dates and events and the \nconventions of “colonial” history.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.170
Threshold uncertainty score0.338

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.022
Scholarly communication0.0050.004
Open science0.0010.003
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0050.000

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 head0.007
GPT teacher head0.215
Teacher spread0.209 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueScientia Insularum Revista de Ciencias Naturales en islasSame topicMicrobial metabolism and enzyme functionFrench-language works237,207