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Record W4318214860 · doi:10.4000/books.pulm.10953

First Nations Phantoms & Aboriginal Spectres: The Function of Ghosts in Settler-Invader Cultures

2009· book-chapter· en· W4318214860 on OpenAlexaboutno aff
Gerry Turcotte

Bibliographic record

VenuePresses universitaires de la Méditerranée eBooks · 2009
Typebook-chapter
Languageen
FieldSocial Sciences
TopicGothic Literature and Media Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsHegemonyPoliticsIndigenousAgency (philosophy)Ethnic groupContext (archaeology)Power (physics)SociologyGender studiesPolitical scienceHistoryAnthropologySocial scienceLaw

Abstract

fetched live from OpenAlex

This paper examines a number of recent ghost stories produced by minority writers in Australia and Canada—from Tracey Moffatt to Thomas King—to highlight the way such tales have been used to interrogate dominant systems of control. If Derrida is correct that ‘haunting is central to any hegemony’, but also that we must learn to ‘talk’ with ghosts, then the way the spectres of minority and dominant structures are negotiated says a great deal about relations of power, especially in the context of race, ethnicity and whiteness. This paper argues that where once Indigenous and minority ethnic writers were metaphorised as spectral within dominant hegemonic structures in order to effect actual political disenfranchisement, contemporary writers and filmmakers have repossessed the spectres of nation to critique, interrogate and reverse such deterritorialising practices. The contestatory politics that have played out as a result of these strategic interventions have in effect ‘ghosted’ dominant players, highlighting the racial dimensions of whiteness and spectralising dominant agency in complex and intriguing ways.This paper will examine films such as Atanarjuat and Bedevil, and novels by Thomas King and Tomson Highway to consider the way this spectral discourse has come to dominate contemporary texts.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.918
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
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 head0.011
GPT teacher head0.268
Teacher spread0.258 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2009
Admission routes1
Has abstractyes

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